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[招聘] 【社招】【NVIDIA】英伟达招聘GPU SM Architect

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发表于 2019-1-10 09:38:06 | 显示全部楼层 |阅读模式
本帖最后由 boxvc 于 2019-1-10 09:46 编辑

NVIDIA (纳斯达克代码:NVDA) 是一家计算机技术公司,公司一直在 GPU 加速计算的行业中勇当开路先锋。NVIDIA 以满足全球最苛刻的用户需求为己任,为游戏玩家、设计师以及科学家提供产品、服务以及软件,在虚拟现实、人工智能、专业可视化以及自动驾驶汽车等领域中带来出色的用户体验。
  
在这里想同您分享我们最新的岗位信息:

基本要求:
  • 精通C++
  • 熟悉计算机体系结构(计算机系统结构/Computer Architecture)


只要您感兴趣,都可以直接发送最新简历至sbai@nvidia.com申请。

Do you visualize your future at NVIDIA? WE DO!
We are now looking for a GPU SM ARCHITECTPERFORMANCE /FUNCTIONAL MODELING, VALIDATION AND ANALYSIS of SHADER UNIT

What you'll be doing:
  • Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture.
  • Develop performance and functional simulation models.
  • Develop performance and functional testplan and tests to validate new SM architectural and features.
  • Test and debug on simulators, RTL and real silicon.

What we need to see:
  • In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques.
  • Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute.
  • Good mastery of C++ language and at least 3 years of C/C++ development experience.
  • Experience of performance/functional modelling, profiling and analysis is a plus.
  • Experience with trace-driven and execution-driven simulation model development is a plus.
    BSEE, BSCSE, or equivalent required. MS or PhD is a plus.
  • Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.

Ways to stand out from the crowd:
  • Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.


NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
      
如果您或您身边的朋友有深度学习,无人驾驶或者CUDA相关经验,请发送英文简历到sbai@nvidia.com了解更多,欢迎推荐,谢谢!

 楼主| 发表于 7 天前 | 显示全部楼层
NVIDIA发明了GPU
  
1999 年,NVIDIA 发明了 GPU,这极大地推动了 PC 游戏市场的发展,重新定义了现代计算机图形技术,并彻底改变了并行计算。超级近,GPU 深度学习为现代人工智能 (AI) 这个新的计算时代带来了新动力 - GPU 在能够感知和理解世界的计算机、机器人和自动驾驶汽车中发挥着大脑的作用。如今,NVIDIA 的 “AI 计算公司” 名头越来越为人所知。
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