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[上海]英伟达半导体技术服务(上海)有限公司

(全职,发布于2018-11-01) 相关搜索
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专业1:计算机科学与技术 专业2:电子信息科学与技术 职能类别:软件工程师

     你会做些什么:

    从D3D12/ray tracing/vulkan到GPU架构,全栈工具解析最新最热AAA大作,助力NV次世代GPU研发

     我们希望看到这样的你:

  • 优秀的C++编程能力

  • 熟悉图形应用开发/图形驱动/GPU体系结构中任一领域


What you'll be doing:

The NVIDIA Architecture group is looking for world class programmers to develop the core infrastructure for modeling, analysis, and debugging in the development of large scale general purpose Graphics+Computing chips. This C++ infrastructure enables our driver stack, applications, tests and studies to all run unchanged on all functional, diagnostic, and performance models, simulations, emulations and silicon for all of our graphics chips.

A key part of NVIDIA's strength is our proprietary internal tools for the visualization, analysis, and debug and verification of tests and applications on various functional and performance simulations of future chips. We are continuously pushing the envelope and needing the next generation of tools to enable the next generation of chips. These tools are used by hundreds of engineers worldwide.

In this role you will play a critical part in every stage of development of a graphics chip. You will work closely with other project members and users to specify systems, create schedules, and manage ongoing feedback and enhancement releases. You will learn and greatly improve the daily workflows of the world’s top chip modelers and designers.

What we need to see:

  • Strong C++ programming capability required (experience with STL and/or boost a plus)

  • Ways to stand out from the crowd:

  • Graphics or CUDA knowledge a plus

  • Experience with OpenGL, Direct3D, CUDA APIs a plus

  • Knowledge of next generation Graphics APs(DX12/Vulkan) is a big plus

  • Experience with chip and/or system simulation a big plus

  • Strong scripting skills desired C Python/Perl preferred

     

公司简要介绍:

公司名称:英伟达半导体技术服务(上海)有限公司 公司类型:外资(欧美) 公司介绍:NVIDIA(纳斯达克股票代码:NVDA)是一家人工智能计算公司。它在1999年发明的GPU激发了PC游戏市场的增长,重新定义了现代计算机显卡,并且对并行计算进行了革新。最近,通过将GPU作为可以感知和理解世界的计算机、机器人乃至自动驾驶汽车的大脑,GPU深度学习再度点燃了全新的计算时代——现代人工智能。