המקום בו המומחים והחברות הטובות ביותר נפגשים
What you’ll be doing:
Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs/SoCs.
Invent and improve our GPU/SoC profiling library with new features to allow developers to extract the best performance out of their applications.
Understand and use the NVIDIA GPU/SoC performance monitoring system
Get an opportunity to develop new tools for GPUs/SoCs running on several platforms.
What we need to see:
B.S. EE/CS or equivalent experience with 3+ years of work experience or MS with 2+ years experience, or Ph.D.
Strong programming ability in C, C++.
Knowledge of computer architecture (preferably ARM CPUs/ SoCs or GPUs)
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level
Experience working in device drivers, embedded systems, or other low level library development
Ways to stand out from the crowd:
Background including shipping device drivers or system software
Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Prior experience authoring developer tools, particularly for GPUs or SoCs
Experience in performance analysis, particularly of embedded system applications
You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems
Knowledge or experience in compute architecture, operating systems, and compilers.
משרות נוספות שיכולות לעניין אותך