Nvidia System Software Engineer AI Performance Efficiency 

China, Shanghai 

981792587

China, Shanghai

What you will be doing:

• Build internal profiling/analysis tools for real world application perf/power analysis at system from small to large scale.
• Build infrastructure or services for data visualization/mining and management.
• Work with our users to build their perf/power models on top of our tools for next generation HW design.

What we need to see:

• Pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering.
• Strong programming skills with Python and C++.
• Familiar at least one GPU API among CUDA, DirectX and Vulkan.
• Proven understanding of solving low level software and hardware problems.

Ways to stand out from the crowd:

• Understands how distributed DL training / inference works.
• Skillful in building modern web applications.
• Good understanding in Windows/Linux OS internals.
• Experience in contributing to large open-source projects.
• Contributions to DL frameworks likePyTorch/JAX/TensorFlowis a huge plus.