Deep Learning Software Engineer (Computer Vision, Core Inference)

    • Nizhniy Novgorod, Russia

Job Description
In this position you will be a part of Deep Learning Core Inference team in IOTG Computer Vision and will participate in Deep Learning and Computer Vision algorithms development and optimization. You will be involved into the development of various runtime features for Intel OpenVINO toolkit, working closely with HW plugins teams.
Your responsibilities will include:

  • Efficiency analysis of existing implementation and finding areas for performance improvement
  • Optimizations of execution graphs and pipelines
  • Enablement of new models from different application areas in Intel OpenVINO toolkit

Qualifications

  • Strong knowledge of Computer Science
  • At least 3-4 years of experience in programming
  • C/C++, Python programming skills
  • Understanding of multithreading and multithreaded application design
  • Understanding of modern compiler architecture and code compilation process

The following will be an additional advantage:
  • Knowledge of Image Processing / Computer Vision, Machine Learning / Neural Networks
  • Knowledge of modern Intel processors architectures
  • Spoken and written English: upper-intermediate level or advanced

Inside this Business Group
Employees of the Internet of Things Solutions Group (IOTG) have an exciting opportunity before them: To grow Intel's leadership position in the rapidly evolving IoT market by delivering the best silicon, software and services that meet a wide range of customer requirements - from Intel® Xeon® to Intel® Quark®. The group, a fresh, dynamic collaboration between Intel's Intelligent Solutions Group and Wind River Systems, utilizes assets from across all of Intel in such areas as industrial automation, retail, automobiles and aerospace. The IOTG team is dedicated to helping Intel drive the next major growth inflection through productivity and new business models that are emerging as a result of IoT.

RU Experienced Hire JR0117394 Nizhni


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