英伟达半导体科技(上海)有限公司

公司性质:外资 公司行业:计算机硬件 公司规模:500人以上

浏览数:169 收藏 深度学习性能分析架构师(该职位已截止)

职位要求

目前NVIDIA在中国热招深度学习性能分析架构师, 针对未来GPU架构开发原型代码,推进下一代架构的设计和优化。

工作职责: 
针对架构和算法特征开发汇编级或者CUDA代码 
优化cuBlas、cuDNN、TensorRT的核心kernel
针对未来GPU架构开发原型代码,推进下一代架构的设计和优化
 
基本要求: 
严谨的逻辑思维和分析能力 
较强编程能力(C/C++)、算法分析和实现 
熟悉计算机体系结构  优先
有CUDA代码调优经验(或者SIMD等架构的调优经验) 优先
熟悉矩阵计算的优化和加速优先
 
详细JD如下

Deep Learning Performance Architect - Shanghai/Hsinchu

Are you obsessed with performance?  Do you like to work at the intersection of hardware and software?  Do you live and breathe deep learning?  NVIDIA is seeking world class programmers and performance architects who love to squeeze out every cycle of performance from deep learning codes.  In this role, you will write code that ships in our deep learning libraries, as well as guide the direction of our future GPU architectures. This position offers the opportunity to have real impact in a fast-moving, technology-focused company.
 
What you'll be doing:
Develop state of the art, performance critical code to accelerate deep learning on NVIDIA's platforms.
Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in deep learning performance and efficiency
Analyze and prototype key deep learning and data analytics algorithms and applications
Understand and analyze the interplay of hardware and software architectures on future algorithms and applications
Collaborate across the company to guide the direction of machine learning, working with software, research and product teams

What we need to see:
MS or PhD in relevant discipline (CS, EE, Math)
Track record of optimizing code for performance on CPUs or GPUs, including assembly or SIMD programming
Strong mathematical foundation in machine learning and deep learning
Experience working with deep learning frameworks like Caffe, TensorFlow and Torch
Strong programming skills in C, C++, Perl, or Python
Familiarity with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP)
Strong background in computer architecture
Experience with matrix multiply and convolution algorithms

公司介绍:

NVIDIA-人工智能计算领域-从游戏到人工智能计算
实践证明,GPU 能够非常有效地解决计算机科学领域中一些极其复杂的问题。GPU 一开始用作模拟人类想象力的引擎,创造出视频游戏和好莱坞电影中令人惊叹的虚拟世界。如今,NVIDIA GPU 用于模拟人类智力,运行深度学习算法,并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大脑的作用。NVIDIA 的“AI 计算公司”名头越来越为人所知。
Website:  http://www.nvidia.cn/object/ai-computing-cn.html

联系方式
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  • 公司地址:浦东新区
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英伟达半导体科技(上海)有限公司 简介

我们开创性地开发出一种强力计算形式,深受全世界对计算机有极限要求的用户的青睐,包括科学家、设计师、艺术家和游戏玩家。

NVIDIA GPU 计算已成为这个时代的达芬奇和爱因斯坦们的必备工具。对于他们而言,我们的创造几可媲美时间机器。基于对更优质 3D 图形永无止境的需求以及当下庞大的游戏市场,NVIDIA 已在这个
虚拟现实、高性能计算和人工智能的交叉口,将 GPU 发展为计算机大脑。

公司网站:http://www.nvidia.cn


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