As a member of the GPU/SoC Foundations Developer Tools team, you will be advancing the state of art of our low-level profiling library which aids developers in analyzing and optimizing the performance of theirsystems/applications.
What you’ll be doing:
Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs, Video, Vision and many other accelerators
Work on developing and improving methodologies for profiling data collection from GPUs / SoCs
Define, invent, and improve our profiling library with new features to allow NVIDIA's customers to extract the best performance out of their code base
Read and understand HW specs to design solutions based on it
Work on software unit level tests and framework ensuring the quality of the product
B.Tech. EE/CS or equivalent with 2+ years of work experience or M.Tech. with 1+ years experience, or Ph.D.
Strong programming ability in C, C++, scripting languages
Knowledge of Computer Architecture (preferably ARM CPUs/ SoCs or GPUs)
Sound Operating Systems fundamentals
Knowledge of hardware-software co-design principles and practices
Experience in Device drivers or System software
Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Knowledge of communication bus protocols (AMBA, PCIe, InfiniBand or others)
Prior experience authoring developer tools, particularly for GPUs or SoCs
Knowledge of hardware performance counters and usage in performance optimizations
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.
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