NVIDIA 英伟达最新实习生招聘信息

NVIDIA是谁？

“全球最佳CEO”—— 哈佛商业评论

“全球最受赞赏公司”—— 财富

“全美最环保公司”—— 新闻周刊

“全球最聪明的50家公司”—— 麻省理工科技评论

“50大最佳工作场所”—— Glassdoor

NVIDIA——人工智能计算公司

NVIDIA目前有哪些职位呢？

NVIDIA目前有哪些职位呢？... 1

需要如何申请呢？... 2

软件类... 2

§       深度学习/人工智能... 2

1.      Intern - Developer Technology Engineer of Machine  Learning – Shanghai 2

2.      Intern- AI Developer Technology Engineer - Beijing. 3

3.      Intern- Machine Learning Solution Engineer – Beijing. 3

§       C/C++. 4

4.      Intern - Deep Learning Performance Architect –  Shanghai 4

5.      Intern – GPU SM Arch – Shanghai 5

6.      Intern – GeForce Product Marketing Solution  Architect – Beijing. 5

7.      Intern – Software Content Engineering Intern–  Shanghai 6

§       Web类/安卓... 7

8.      Intern- Web Operation Intern – Beijing. 7

9.      Intern- Android System Software Engineer – Beijing. 8

10.         Intern- Web Service Software Intern– Shenzhen. 8

§       测试类... 9

11.         Intern- CUDA Automation Triage Software Engineer–  Shanghai 9

12.         Intern- Perf Analyst Intern – Shanghai 10

硬件类... 11

§       IC Level 11

13.         Intern - Physical Design CAD Engineer - Shanghai 11

14.         Intern – ASIC Intern – Shanghai 11

15.         Intern – DFT Intern – Shanghai 12

16.         Intern – SOC ASIC Intern– Shanghai 12

其他... 13

17.         Intern – OEM Marketing Intern– Beijing. 13

需要如何申请呢？

如果你对以上职位感兴趣，请发简历至：dorothyl@nvidia.com

                                                        Or    Lydiama@careerintlinc.com

邮件标题：职位名+姓名+毕业时间+开始实习时间+可实习月数+招聘信息来源

软件类

§  深度学习/人工智能

1.      Intern - Developer Technology Engineer of Machine Learning – Shanghai

【坐标】上海市浦东新区，二号线广兰路地铁站附近

【你会做些什么】

1.   你将与世界各地最具才华的顶尖软件开发者合作，并帮助将NVIDIA的技术集成到应用程序中。

2.   你将与架构和驱动团队紧密合作，以确保当前一代GPU发挥最好的性能

3.   你将有机会影响下一代GPU架构的趋势与特性

4.   你将开发使用GPU的新技术，创建技术演示，编写白皮书，并在会议上展示你的工作。

【我们想要看到这样的你】

1.   拥有深度学习/机器学习领域的扎实理论基础，熟悉GPU技术，包括神经网络、并行计算、CUDA编程和性能分析

2.   熟悉至少一项深度学习相关框架

3.   熟悉Python或C++

4.   对图像处理或图形学有一定研究

5.   每周3天以上，实习4个月以上

2.      Intern- AI Developer Technology Engineer - Beijing

【坐标】北京市朝阳区财富金融中心

【你会做些什么】

1.   参与深度学习、机器学习、数据分析领域最新技术（模型/算法/编程实现/优化）的研究和开发；

2.   参与工业界实际应用的深度分析和优化，以保证该类应用在当前和未来GPU架构上的业界最佳性能；

3.   为关键客户（业界主要公司）提供最佳AI解决方案；

4.   和GPU架构团队、研究团队、应用库和开发工具团队、系统软件团队等紧密合作来影响下一代GPU架构，软件平台和编程模型的设计与开发；

5.   与世界各地的优秀同事一起助力深度学习技术在各个领域（互联网，金融，医疗等）中实际落地。

【我们想要看到这样的你】

1.   顶尖大学的计算机科学相关专业的优秀硕士、博士毕业生；

2.   拥有深度学习/机器学习领域的扎实理论基础，熟悉常见的深度学习网络或机器学习算法；

3.   拥有良好的C/C++编程能力，良好的软件设计和开发能力；

1.   4.（可选）有并行计算编程基础，有CUDA C/C++编程经验更佳；

4.   良好的沟通能力、解决问题能力、时间管理能力和任务优先级管理能力。

5.   实习时间至少3个月及以上，至少3天/周

3.      Intern- Machine Learning Solution Engineer – Beijing

【坐标】北京市朝阳区财富金融中心

What you'll be doing:

·      Develop and optimize critical algorithm modules for machine learning (deep learning) solutions.

·      Cutting-edge R&D work for one of domains, Image/Video analysis, speech recognition or recommendation algorithm, based on Deep Learning technology.

·      Understand and study compute problems in machine learning (deep learning) solutions, problems such as low precision, fixed precision, network pruning, network compression, asynchronous distributed multi-node/multi-gpu training, etc.

·      Targeting some vertical domains in AI (image, video, speech, etc.), provide end-to-end solutions or prototypes.

·      Solving real-world problems with modern machine learning technologies, in manufacturing, telecommunication, finance, medical, etc.

·      Support other internal teams.

·      Backed by top research institutes collaborating with NVIDIA, digest and absorb their state-of-art research achievements. Aligning with NVIDIA’s AI strategy, acquire necessary technologies.

What we need to see:

·      Majoring in Electronic Engineering, Computer Science, Automation or others. Master degree or above.

·      Experience in performance analysis, performance modelling and/or performance optimization.

·      Deep understanding of computer architecture. In-depth project experience on processor architecture, including GPU, ARM, MIC, FPGA, Shenwei, etc.

·      Deep understanding of basic theory and methods of machine learning.

·      In-depth work of one or few vertical areas (including image/video processing, speech recognition, natural language understanding, recommendation algorithm, etc.).

§  C/C++

4.      Intern - Deep Learning Performance Architect – Shanghai

【坐标】上海市浦东新区，二号线广兰路地铁站附近

【你会做些什么】

1.     针对架构和算法特征开发汇编级或者CUDA代码

2.     优化cuBlas、cuDNN、TensorRT的核心kernel

3.     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

【我们想要看到这样的你】

1.     较强的C++编程能力、算法分析和实现

2.     熟悉计算机体系结构

3.     有CUDA代码调优经验（或者SIMD等架构的调优经验）优先

4.     熟悉矩阵计算的优化和加速优先

5.     每周3天及以上，3个月及以上  

5.      Intern – GPU SM Arch – Shanghai

【坐标】上海市浦东新区，二号线广兰路地铁站附近

【你会做些什么】

NVIDIA的GPU和SOC在性能和效率方面处于世界领先地位，SM（Streaming

Multi-processor）是其强大处理能力的核心。GPU SM架构师将参与设计实现为下一代GPU提供动力的最先进的SM架构，主动解決具有挑战性的技术问题，不断优化以达到最佳效果。

1.    在对现有SM架构的研究和学习基础上参与架构设计，提出自己的构想

2.    开发性能和功能的仿真模型

3.    对性能及功能进行测试和验证

4.    在模拟器/RTL上进行调试

【我们想要看到这样的你】

1.   计算机/电子相关专业本科/硕士/博士

2.   较强的C++/Perl/Shell 的知识背景及开发经历

3.   熟悉Linux开发环境，有相关经历加分

4.   对GPU架构工作有很强的兴趣

5.   实习时间至少6个月及以上，至少3天/周

6.      Intern – GeForce Product Marketing Solution Architect – Beijing

【坐标】北京市朝阳区财富金融中心

What you’ll be doing:

·      Investigate requirements and existing solutions of vary segments of market (gaming/non-gaming), analyze and evaluate if/how to utilize GPU expertly in the particular area;

·      Tune and/or prototype key applications with new GPU technologies

·      Design and develop tools to simulate and validate solutions and applications performance

What we need to see:

·      Master degree in CS/EE;

·      Strong programming skills in C /C++;

·      Strong programming skills in CUDA;

·      background of PC architecture, especially GPU;

·      understand cloud/AI basic and video/image computing technology is a plus;

·      self-driven style, good English in writing;

·      familiar with gaming industry is a plus, serious gamer is helpful;

7.      Intern – Software Content Engineering Intern– Shanghai

【坐标】上海市浦东新区，二号线广兰路地铁站附近

What you’ll be doing:

·      Add and maintain contents on NVIDIA GeForce NOW gaming platforms.

·      Gaming content data analysis, SW features debugging and services trouble-shooting.

·      Build content data analysis/management tools/systems. Design and implement new features of automation solutions for internal usages.

·      Work in a global organization with colleagues based in other regions.

What we need to see:

·      Bachelor/master undergraduates in CS/EE related majors, such as computer science and technologies, telecommunication, information management system, etc.

·      We are glad to see the applicant is a self starter on software development. You show passions on software programming. We are very happy to see you can learn new things by yourself, and resolve engineering problems independently.

·      Strong programming skills, master one or more programming languages, and deep understanding on software engineering process.

·      Programming experiences on Windows, Linux and Android operating systems.

·      Proficiency in written and spoken English.

Ways to stand out from the crowd:

·      Have deep understanding on more than two different paradigm programming languages, like object-oriented programming, functional programming, logical programming, etc.

·      Have experiences on Linux system administrations, understanding Linux system programming is a huge plus.

·      Deep knowledge on Android development, familiar with Android architectures and programming models.

·      Software development experiences in cloud environment, such as AWS, Azure and Alicloud.

·      A series gamer who is familiar with PC games and in-game graphics settings, play recent released AAA games on PC.

·      Have real world project experiences on industrial software. We are happy to know if you are familiar with agile software development, DevOps, unit testing, refactoring, etc.

因字数限制，未能发布全部信息，符合条件者可发送简历或电话询问。

联系人：dorothy;   lydia

联系方式：02938053785  17691033947

邮箱：dorothyl@nvidia.com;  Lydiama@careerintlinc.com