这是一个创建于 3837 天前的主题，其中的信息可能已经有所发展或是发生改变。
NVIDIA Compute Arch 是一个处于业界最前沿的团队，研究的范畴包括 GPU 架构设计和 GPU 应用的优化（计算机视觉，深度学习、无人驾驶）等。欢迎有高性能计算、计算机体系结构背景，具有一定编程能力和数据分析能力的同学加入。如果还接触过 Computer Vision 或 Machine Learning 那就更好啦！
薪水的话，在 IC 行业的同等职位里算是最高的了，即便和上海本地的互联网公司相比也毫不逊色。此职位可实习，实习工资没记错的话是每月 4K RMB（非全勤也是这个数）。简历请直接发到我的邮箱 mlv#nvidia.com。
-------------- 以下为 JD -------------
The NVIDIA GPU Computing Architecture group is looking for world class computer architects to join and lead our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures from automotive to the world's fastest super computers.
RESPONSIBILITIES (possible directions):
Enhance GPU architectures to extend the state of the art in performance, efficiency, programmability and reliability
Analyze, tune and prototype key applications for new GPU architectures
Build model to predict performance, power and reliability on future architecture
Design, and develop tools to analyze, simulate, validate, and verify application performance, and energy consumption
Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
DESIRED SKILLS and EXPERIENCE:
MS Degree in relevant discipline (CS, EE, Math). PhD helpful
Strong programming skills in C or C++
Strong background in computer architecture, parallel processing, signal processing and/or high performance computing
Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results
Optional/Plus - Background in computer vision, machine learning, or any HPC domain
Optional/Plus - Strong programming skills in CUDA, Perl, OpenMP, MPI or Python
薪水的话，在 IC 行业的同等职位里算是最高的了，即便和上海本地的互联网公司相比也毫不逊色。此职位可实习，实习工资没记错的话是每月 4K RMB（非全勤也是这个数）。简历请直接发到我的邮箱 mlv#nvidia.com。
-------------- 以下为 JD -------------
The NVIDIA GPU Computing Architecture group is looking for world class computer architects to join and lead our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures from automotive to the world's fastest super computers.
RESPONSIBILITIES (possible directions):
Enhance GPU architectures to extend the state of the art in performance, efficiency, programmability and reliability
Analyze, tune and prototype key applications for new GPU architectures
Build model to predict performance, power and reliability on future architecture
Design, and develop tools to analyze, simulate, validate, and verify application performance, and energy consumption
Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
DESIRED SKILLS and EXPERIENCE:
MS Degree in relevant discipline (CS, EE, Math). PhD helpful
Strong programming skills in C or C++
Strong background in computer architecture, parallel processing, signal processing and/or high performance computing
Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results
Optional/Plus - Background in computer vision, machine learning, or any HPC domain
Optional/Plus - Strong programming skills in CUDA, Perl, OpenMP, MPI or Python
 | 1 sophymax 2015-07-06 23:56:45 +08:00 via Android 广兰路这边的？就住在旁边，可惜不懂这么底层的东西 |
 | 2 jziwenchen 2015-07-07 00:28:57 +08:00 貌似很有兴趣 问招收新手吗？ |
 | 3 madeye OP |
 | 4 lichuanwen 2015-07-07 11:03:10 +08:00 你的邮箱地址有误 |
| 5 madeye OP @lichuanwen 没有问题的，就是这个地址。 |
 | 6 btangbs 2015-07-11 14:58:02 +08:00 真是高大上啊，感觉要程序员中的精英才能胜任呢，我的水平也就做做GUI还行。。 |
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