Nvidia AI Computing Architect Intern - 

China, Shanghai 

261957037

Intelligent machines powered bycomputers that canpeople are no longer science fiction. GPU Deep Learning has provided the foundation for machines to

What you’ll be doing:

• Develop innovative architectures to extend the state of the art in deep learning performance andefficiency.

• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites.

• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications.

• Prototype key deep learning and data analytics algorithms and applications.

• Actively collaborate with software, product and research teams to guide the direction of deep-learning.

What we need to see:

• Pursuing BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.).

• Strong programming skills in Python, C, C++.

• Strong background in computer architecture.

• Experience with performance modeling, architecture simulation, profiling, and analysis.

• Strongfoundationin machine learning and deep learning.

Ways to stand out from the crowd:

• Experience with GPU Computing and parallel programming models such as CUDA and OpenCL.

• Background with the architecture of or workload analysis on other deep learning accelerators.

• Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT).

• Experience withopen-sourceAIcompilers (OpenAI Triton, MLIR, TVM, XLA, etc.).