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。

要求:
1.    3年以上信号完整性经验(Drive board/System level)
2.    熟悉HFSS, VNA, TDR
3.    英文口语能够交流

工作地点：深圳
简历投递： tracyw@

What you’ll be doing:
1.    NVIDIA is looking for a passionate, world-class deep learning expert to work in system software team. In this role, you will co-work with the team members and customer to apply deep learning with GPU-acceleration to different marketing, such as IVA, robot.
2.    This position will be quite challenging and exciting since no one ever does this job before all over the world.
3.    Collaborating closely with the architecture, research, libraries, tools, and other software teams at NVIDIA to investigate how to optimize the inference performance on Tegra based Embedded platform.
4.    Implementing and optimizing MM SDK sample with deep learning integration
5.    Working directly with deep learning expert from customer to understand the current and future problems they are solving, creating and optimizing algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the algorithm.
What we need to see:
6.    years customer support or software development experience
7.    A good degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred).
8.    Strong knowledge of C/C++.
9.    Strong knowledge of software design, programming techniques, and algorithms.
10.    Strong mathematical fundamentals, including linear algebra and numerical methods.
11.    Experience with parallel programming, CUDA C/C++ is a plus
12.    Experience with popular deep learning framework, such as Caffe, Torch, etc
13.    Deep understanding of popular network, such as GoogleNet, Faster R-CNN, etc is a plus
14.    Ways to stand out from the crowd:
15.    Experience with the development on embedded system is a plus
16.    Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

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