GPU Performance Engineer

з/п не указана

Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

Job description:

  • Analyze performance of highly-parallel applications on GPU clusters
  • Optimize hotspots via various parallel programming technologies (OpenACC, CUDA, MPI, etc.)

Requirements:

  • Strong С/С++ programming skills
  • Familiarity with GPU architectures
  • Good scripting skills (Python, bash)
  • English (Intermediate or above)

Desired skills:

  • Experience in performance profiling and analysis of HPC applications
  • Experience in parallel programming (ideally CUDA/OpenCL, MPI, OpenACC)
  • Fortran programming skills
  • Good math background, including algorithms, linear algebra, numerical methods

We offer:

  • Flexible working time
  • Competitive salary

  • Corporate lunches

  • Medical and life insurance

  • 7 paid sick leaves (without sick leave certificate)

  • Fitness room, shower, fitness compensation

  • Company compensates relocation and interview expenses

  • Comfortable A-class office within 15 minute walking distance from Savelovskaya and Maryina Roscha metro stations (shuttle bus available)

 Доступно соискателям с инвалидностью 

Ключевые навыки

C++
C/C++
HPC
GPU
CUDA/OpenCL
OpenACC/OpenMP
NCCL
MPI
GROMACS
LAMMPS
Python
Bash

Адрес

Савеловская, Москва, Двинцев, 12, корпус 1
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Вакансия опубликована 26 ноября 2021 в Москве

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