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GPU Performance Engineer (Samsung Moscow RnD Center)
Писать в личку Альбине Ссылка скрыта или на почту [email protected]
Job description:
Analyze performance of highly-parallel applications on GPU clusters
Optimize hotspots via various parallel programming technologies (OpenACC, CUDA, MPI, etc.)
Requirements:
Experience in parallel programming (ideally CUDA/OpenCL, OpenACC/OpenMP, NCCL, MPI)
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
Fortran programming skills
Good math background, including algorithms, linear algebra, numerical methods
We offer:
Flexible working time
Full compliance with Russian Labor Code
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)