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What you’ll be doing:
Innovate and improve our profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications
Design, implement, and verify new performance metrics and collection methods for GPUs and SOCs
Develop metric test coverage by writing directed test applications to exercise different parts of GPU pipeline
Work on validation of NVIDIA GPU hardware features that are incorporated into our tools library
Work with NVIDIA's Architecture and Developer Technology teams to improve data collection methodology for Nvidia's next-gen chips
What we need to see:
Pursuing a B.S. or M.S. in Electrical Engineering/Computer Science (or equivalent experience)
Strong programming ability in C++
Solid understanding of computer architecture (e.g.: x86, ARM CPUs, GPUs)
Project or work experience in programming GPU hardware
Ways to stand out from the crowd:
Knowledge of a GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Experience in performance analysis, particularly of GPU applications
Prior experience authoring developer tools, particularly for GPUs or games
Experience working in device drivers, realtime systems, game console middleware, or other low level library development
Understand game engine core technologies as it applies to GPU hardware
You will also be eligible for equity and .
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