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[招聘] NVIDIA火热招聘深度学习/高性能计算解决方案架构师

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发表于 2017-12-22 17:43:23 | 显示全部楼层 |阅读模式

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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


基本要求:

熟悉深度学习相关算法以及框架或者有CUDA并行计算经验;


简历投递: allelin@nvidia.com
Wechat hrallenlin


Deep Learning Solution Architect-Beijing/Shanghai/Shenzhen

What you’ll be doing:

  • Assist NVIDIA Account Managers in     supporting existing lighthouse accounts and driving new business in those     accounts and new accounts.
  • Deliver technical projects, demos and     client support tasks as directed by the Solution Architecture leadership     team.
  • Provide technical support for GPU     system deployments.
  • 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.
  • Be an internal champion for Data     Analytics, Machine Learning, and Cyber among the NVIDIA technical     community.

What we need to see:

  • 1-3 years experience with development     and application of Machine Learning, data analytics, or computer vision     work flows.
  • Outstanding verbal and written     communication skills
  • Ability to work independently with     minimal day-to-day direction
  • Strong Linux skills.
  • C/C++/Python/Java/Scala programming     experience
  • Experience with parallel programming     development and optimization
  • Experience with GPU computing and     CUDA programming
  • Strong teamwork and interpersonal     skills
  • Desire to be involved in multiple     diverse and innovative projects
  • Experience using scale-out cloud     and/or HPC architectures for parallel programming
  • MS or PhD in Engineering,     Mathematics, Physics, Computer Science, Data Science, Neuroscience,     Experimental Psychology or equivalent work experience.

Ways to stand out from thecrowd:

  • Experience with Deep Learning     frameworks and tools, eg. Digits, Caffe, Torch, TensorFlow.
  • CUDA optimization experience.
  • Extensive     experience designing and deploying large scale HPC and enterprise     computing systems.
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