这是一个创建于 3239 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/HW Accelerator 架构设计和相关应用的优化（计算机视觉，深度学习、无人驾驶）。
欢迎有高性能计算、计算机体系结构背景，并具有一定编程能力和数据分析能力的同学加入。如果是相关专业的 PhD 那就更好啦！ 另外社招、应届、实习都可以。简历请直接发到我的邮箱 [email protected] 。
-------------- 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
欢迎有高性能计算、计算机体系结构背景，并具有一定编程能力和数据分析能力的同学加入。如果是相关专业的 PhD 那就更好啦！ 另外社招、应届、实习都可以。简历请直接发到我的邮箱 [email protected] 。
-------------- 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
第 1 条附言 2017-03-22 13:30:17 +08:00
继续招人啦，这次同时招下面三个方向：
High performance CUDA kernel development
- Develop super-fast kernels for cuDNN and Tensor RT
- Requirement
- CUDA programming and optimization
- Assembly level optimization with SSE, AVX, or other SIMD instructions
- Compiler
General compute architect
- Develop methodology and evaluate compute features for future architecture
- Model deep learning performance for future architecture
- Requirement
- Deep understanding of compute architecture in general
- Good programming skill
DL algorithm
- Analyze deep learning algorithms. Computation/Memory complexity. Computation pattern etc…
- Requirement
- Deep understanding of implementation of DL algorithms
- Good compute architecture in general
- Good programming skill
 | 1 unoyx 2016-12-02 18:12:47 +08:00 简历需要英文的？ |
 | 2 Duolingo 2016-12-02 18:17:36 +08:00 via iPhone 膜拜 ss-libev 作者 |
 | 4 ggaaooppeenngg 2016-12-03 02:54:36 +08:00 via iPhone 本科刚毕业的可以吗 |
| 5 ggaaooppeenngg 2016-12-03 02:55:03 +08:00 via iPhone z |
 | 6 madeye OP @ggaaooppeenngg 这种比较难，不过可以先把简历发过来看看。 |
 | 7 hackpro 2016-12-03 13:04:09 +08:00 春招的时候投了一次 不过 HR 收了简历后没啥消息了 |
 | 11 isbase 2016-12-03 22:44:57 +08:00 via Android 感谢大神的项目 |
 | 12 phx13ye 2016-12-05 09:46:12 +08:00 膜拜 ss-Android 作者 |
| 13 madeye OP  1 继续招人啦，这次同时招下面三个方向： High performance CUDA kernel development Develop super-fast kernels for cuDNN and Tensor RT Requirement CUDA programming and optimization Assembly level optimization with SSE, AVX, or other SIMD instructions Compiler General compute architect Develop methodology and evaluate compute features for future architecture Model deep learning performance for future architecture Requirement Deep understanding of compute architecture in general Good programming skill DL algorithm Analyze deep learning algorithms. Computation/Memory complexity. Computation pattern etc … Requirement Deep understanding of implementation of DL algorithms Good compute architecture in general Good programming skill |
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