NVIDIA火热招聘 深度学习/高性能解决方案架构师-北京/上海/深圳

NVHR

NVIDIA火热招聘 深度学习/高性能解决方案架构师-北京/上海/深圳

基本要求:
熟悉深度学习相关算法以及框架或者熟悉GPU/CUDA编程

工作地点：北京/上海/深圳
简历投递： tracyw@nvidia.com     Wechat: 1751315121

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

目前热招岗位:
1.Deep Learning Solution Architect-Beijing/Shanghai/Shenzhen
目前NVIDIA在中国热招解决方案架构师， 该岗位致力于协同客户经理将NVIDIA最新的深度学习/高性能计算解决方案与技术带给我们的客户, 帮助客户通过实施NVIDIA技术解决方案来提升整体效率
What you’ll be doing:
1、Assist NVIDIA Account Managers in supporting existing lighthouse accounts and driving new business in those accounts and new accounts.
2、Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
3、Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.
4、Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What we need to see:
1、1-3 years’ experience with development and application of Machine Learning, data analytics, or computer vision work flows.
2、Outstanding verbal and written communication skills
3、Ability to work independently with minimal day-to-day direction
4、C/C++/Python/Java/Scala programming experience
5、Desire to be involved in multiple diverse and innovative projects
6、Experience using scale-out cloud and/or HPC architectures for parallel programming
7、MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent work experience.

Ways to stand out from the crowd:
1、Experience with Deep Learning frameworks and tools, eg. Digits, Caffe, Torch, TensorFlow.
2、CUDA optimization experience.
3、Extensive experience designing and deploying large scale HPC and enterprise computing systems.