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[NVIDIA招聘]测试开发工程师(并行计算方向)-博士生

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发表于 2016-3-22 15:02:25 | 显示全部楼层 |阅读模式
在二十年的时间里,NVIDIA 一直在视觉计算方面 (计算机图形的艺术与科学) 勇当先锋。
凭借我们发明的 GPU ——现代视觉计算的引擎,这一领域现已扩张到涵盖了视频游戏、电影制作、产品设计、医学诊断以及科学研究等
NVIDIA在世界各地拥有 9,300 名员工。持有的专利资产多达 7,300 项。

更多关于公司信息请登陆:  http://www.nvidia.cn/page/home.html

We are hiring CUDA Automation Test Development and Triage Engineer –for 2016 PhD

CUDA是什么?
CUDA™ 是 NVIDIA® 公司的并行计算架构。 该架构通过利用 GPU 的处理能力,可大幅提升计算性能。目前,全球「财富」五百强企业已经安装了 700 多个 GPU 集群,从能源领域中的斯伦贝谢和雪佛龙到银行业中的法国巴黎银行,这些企业的范围十分广泛。

Coding 关键词: C++/ C    QA

工作地点:上海市浦东新区秋月路26号,公司管饭~

有意向的同学欢迎发送简历到tracyw@nvidia.com   QQ: 1751315121


Position Title: CUDA Automation Test Development and Triage Engineer
Description/
- Develop and automate GPU CUDA Computing tests to ensure quality of functionality, compatibility and performance.
- Triage and fix the test failures from the nightly and weekly automation testing.
Requirements:
- A good degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred)
- Strong knowledge of C/C++ and/or Fortran.
- Strong knowledge of programming techniques and algorithms.
- Good trouble shooting, analytical skill, logical thinking and inferences capability a must.
- Experience with Python, perl is a plus.
- Knowledge in Linux is a plus.
- Experience with parallel programming, ideally CUDA C/C++ and OpenACC is a plus
- Experience with machine learning, artificial intelligence, computer vision is a plus
- Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills
- Ability to work independently and achieve results on tight time lines.


Thanks
Tracy
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