מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you’ll be doing:
GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, NVIDIA optimized Frameworks (E.g. TensorFlow, PyTorch, MxNET, etc.)
Be responsible for functionality, compatibility, and performance tests in DL SW stack release.
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
What we need to see:
Pursuing BS or higher degree in CS/EE/CE.
Scripting language (Python, Perl, bash), Linux knowledge is required.
Experiences in C/C++ programming is a plus.
Familiarity any Deep Learning Framework is a strong plus.
Good communication skills, fluent oral and written English.
Ways to stand out from the crowd:
Familiarity working with NVIDIA GPU hardware is a strong plus.
Background with NVIDIA GPU Computing (CUDA) is a strong plus.
משרות נוספות שיכולות לעניין אותך