[上海] NVIDIA Computing Architecture 组招聘

[madeye]

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 [e-mail] 。

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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

[unoyx]

简历需要英文的？

[codingadog]

膜拜 ss-libev 作者

[madeye]

@unoyx 随意的。

[ggaaooppeenngg]

本科刚毕业的可以吗

[ggaaooppeenngg]

z

[madeye]

@ggaaooppeenngg 这种比较难，不过可以先把简历发过来看看。

[hackpro]

春招的时候投了一次 不过 HR 收了简历后没啥消息了

[madeye]

@hackpro 专业对口比较重要，需要硬件相关的背景。否则的话， HR 有可能会无视掉。。。

[wannafly]

@madeye 干 EDA 的呢...

[madeye]

@wannafly 可以的

[isbase]

感谢大神的项目😀😀😀

[phx13ye]

膜拜 ss-Android 作者

[madeye]

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