• 外包信息请发到 /go/outsourcing 节点。
• 不要把相同的信息发到不同的节点
这是一个创建于 3848 天前的主题，其中的信息可能已经有所发展或是发生改变。
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、数据分析能力的同学来投简历。如果还接触过 Computer Vision、Machine Learning 那就更好啦！实习工资没记错的话是每月4k（非全勤也是这个数）。简历请直接发我的邮箱 mlv#nvidia.com。
-------------- 以下为原JD -------------
The NVIDIA GPU Computing Architecture group is seeking intern candidates with backgrounds in computer architecture and compute science to join our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures that power energy-efficient smart phones and the world's fastest super computers.
RESPONSIBILITIES:
• Develop innovative HW, GPU and system architectures to extend the state of the art in performance, programmability, efficiency and reliability
Analyze and prototype key algorithms for new GPU architectures
• Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
MINIMUM REQUIREMENTS:
• Strong programming skills in C, C++, CUDA, Perl, OpenMP, MPI or Python
• Strong background in computer architecture, compilers, parallel processing
• Experience in systems-level performance modeling, profiling, and analysis
• Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
• Strong background in computer vision, machine learning is plus
-------------- 以下为原JD -------------
The NVIDIA GPU Computing Architecture group is seeking intern candidates with backgrounds in computer architecture and compute science to join our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures that power energy-efficient smart phones and the world's fastest super computers.
RESPONSIBILITIES:
• Develop innovative HW, GPU and system architectures to extend the state of the art in performance, programmability, efficiency and reliability
Analyze and prototype key algorithms for new GPU architectures
• Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
MINIMUM REQUIREMENTS:
• Strong programming skills in C, C++, CUDA, Perl, OpenMP, MPI or Python
• Strong background in computer architecture, compilers, parallel processing
• Experience in systems-level performance modeling, profiling, and analysis
• Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
• Strong background in computer vision, machine learning is plus
7 条回复 • 2014-05-27 20:33:14 +08:00
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1
nooper 2014-05-12 20:17:46 +08:00
cuda 感觉靠谱~
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2
baka 2014-05-12 22:30:04 +08:00
实习期间大概多久呢？
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4
Livid MOD Cool!
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5
lsylsy2 2014-05-13 02:34:34 +08:00
CUDA很赞啊！
_(:з」∠)_可惜选修并行计算时候，感觉对CUDA的流程还是不太能理解，最后作业拿threads和MPI混过去了…… |
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7
x1aoYi 2014-05-27 20:33:14 +08:00
普通应届生看来申请实习是相当困难啦 只有一点POSIX基础。。。
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