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Job ID: JR0122307
Job Category: Engineering
Primary Location: Nizhni, RU
Other Locations:
Job Type: College Grad

Deep Learning tools Software developer

Job Description
  • Conduct design and development to build and optimize deep learning software
  • Design, develop & optimize for deep learning training and inference frameworks
  • Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks
  • Transform computational graph representation of neural network model
  • Develop deep learning primitives in math libraries
  • Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams
  • Optimizing code for various computing hardware backends
  • Interacting with deep learning researchers and experience with deep learning frameworks


  • You must possess a Bachelor degree or a Master degree in Computer Science or Computer Engineering, or equivalent
  • 5+ years of professional SW development
  • Proficiency in Python 3.x (3+ years experience)
  • Programming experience in Front End development (JavaScript, TypeScript, Angular2+)
  • Programming experience in real C++ SW projects 3 years or more
  • Experience in cross-platform SW development for Windows*, Linux and OS X*
  • Good English skills (spoken and written)
  • Excellent team work and communication skills
  • Must be willing and able to work in a fast-paced environment
  • Discipline, strong sense of responsibility, good problem solving and decision making skills, attention to detail
  • Quick learner and be able to handle complex problems related to software development

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.

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