·职业发展

· 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;

企业介绍：

NVIDIA：人工智能计算公司
过去半个多世纪以来，人工智能一直是计算机科学家的梦想，而现在它将不再仅仅是科幻情景。在接下来的几年里，人工智能将给每一个行业带来变化。在不久的将来，自动驾驶汽车将会减少交通拥堵、提升道路安全性。人工智能旅行社将会通过对你偏好的了解，从而为你的家庭度假安排好每一个细节。医学仪器也会读取并理解患者的 DNA 以检测癌症的早期迹象从而尽早进行治疗。曾几何时，发动机使人类变得更加强大并促成了第一次工业革命；而人工智能将会使人类变得更加智能并掀起下一场工业革命。究竟是什么使得这一智能工业革命成为可能？答案是基于 GPU 的深度学习这一全新的计算模式，它让计算机能够从数据中进行学习然后编写出人类无法写出的复杂软件。

相关附件：

NVIDIA 英伟达实习生招聘信息 updated on Dec 27th.pdf 下载

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