Nvidia Senior GPU Kernel Performance Lead 

United States, California 

473626616

What you’ll be doing:

• Specify test cases, derived from Deep Learning workloads, to provide adequate directed and use-case coverage across all kernels on both simulation and silicon targets

• Determine performance theory through the development and use of analytical models

• Track and report on kernel performance throughout the development lifecycle by using and expanding upon current infrastructure

• Provide feedback to the kernel developers by identifying performance regressions and opportunities to reach the achievable peak performance

What we need to see:

• PhD degree in Computer Science, Computer Engineering, Applied Math, or related field (or equivalent experience) with 8+ years of relevant industry experience.

• Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design

• Experience leading or managing a team relating to the performance of CPUs, GPUs, or other DL accelerators

Ways to stand out from the crowd:

• Experience with analytical models and cycle-accurate HW simulators

• Knowledgeable about performance tools like Nsight or VTune

• Programming experience beyond C++ including assembly, MLIR/LLVM, Python, and CUDA/OpenCL