Предполагаемый уровень месячного дохода:
не указан
Обязанности:
Анализ бизнес-процессов предприятия; предложения по доработке, разработка ТЗ по созданию и доработке функционала информационной системы;
Поддержка и администрирование 1С; постановка задач по реализации отчетов и доработке документов в 1С, реализация и доработка отчетов и документов в 1С.
Предполагаемый уровень месячного дохода:
не указан
Please note that this position is for recent university graduates who have completed their latest degree no more than 18 months ago.
Description:
In this position, you will be a software engineer on the Intel Math Kernel Library (MKL) team
You will work on developing and supporting the library service functions and infrastructure as well as on implementing optimized algorithms for the latest Intel architectures in the areas of linear algebra and FFTs
Your challenge will be to provide library engineering and to develop functions which are highly efficient and scalable
You will be required to present the results of your activities internally and possibly at external conferences and events
Qualifications:
You must possess a Bachelor or Master of Science degree in Computer Science or Computational Mathematics completed no more than 18 months ago.
Additional qualifications include:
Extensive programming experience in C and FORTRAN, some expertise in Java*, C++ and C#. Knowledge of scripting languages: perl, python, bash
Internals of Windows/MacOS/Linux especially related to library conventions/linking/etc, memory management, development tools. Knowledge of platform specific API's (threads/processes/synchronization, loader), ABI's, formats of libraries, calling conventions for MS/GNU/Intel C/C++/Fortran will be additional advantage.
Parallel programming - pthreads, OpenMP, MPI
Prior experience with software development tools: make, scons, svn, etc.
Good written and verbal communication English skills - intermediate level or higher
A general knowledge of various computer architectures. An in-depth knowledge of Intel architectures, x86 assembly language and GPGPUs will be an added advantage