Software Intern for Machine Learning

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Требуемый опыт работы: не требуется

Стажировка, гибкий график

Position: Software Intern for Machine Learning

Synopsys is a worldwide leading supplier of horizontal IP (Intellectual Property) which is used by our customers to design semiconductor integrated circuits. The product portfolio includes IP components and subsystems for ARC CPU processors, EV processors for embedded vision, USB, DDR, Ethernet among many others (https://www.synopsys.com/designware-ip.html).

The ARC Subsystems Software Team supplies a Machine Learning Inference (MLI) software library for use on ARC CPU processors. It allows developers to efficiently implement and/or port algorithms based on machine learning to ARC processors (https://embarc.org/dl.html).

We are looking for a talented student with a strong passion for machine learning to join our team and assist with various research and development tasks related to the MLI library. Activities could include:

  • Investigating new application areas for MLI library use
  • Defining future extensions to MLI library based on results of research on new machine learning kernels and techniques
  • Porting existing machine learning graphs to MLI
  • Training new graphs

Requirements (MUST):

  • Knowledge of machine learning and Neural Networks (NN)
  • Knowledge of a DSP architecture
  • Knowledge of embedded computing concepts
  • Practical Python programming language experience
  • Practical C/C++ programming experience beyond university courses
  • Excellent teamwork and very strong English communication skills, written and verbal

Ключевые навыки

Machine LearningDSP architecturePythonC/C++Neural Networks

Адрес

Петроградская, Санкт-Петербург, Профессора Попова, 23 Д
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Вакансия опубликована 6 июня 2019 в Санкт-Петербурге

Код вакансии 21703

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