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What you'll be doing:
Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
What we need to see:
A degree from university in an engineering or computer science related discipline (BS; MS or PhD preferred).
Strong knowledge of C/C++, software design, programming techniques, GPU arch, parallel computing, and AI algorithms.
Prefer solid skills of CUDA C/C++ programming, performance profiling and optimization.
Prefer expert knowledge of GPU arch.
Good communication skills.
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