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

NVIDIA --"AI"人工智能计算公司
我们正在进入人工智能的时代,GPU Computing加速AI / DL的飞速发展,并正在重塑各行各业的技术生态和商业模式,深刻地改变人们的工作和生活方式。
NVIDIA致力于AI技术创新,并为我们的客户和合作伙伴提供平台和技术,加速AI应用行业落地。
解决方案架构师在这个过程中扮演着独特的角色

[你会做些什么呢]
深入理解各个行业的业务需求与应用场景，并致力于将NVIDIA最新的深度学习等解决方案与前沿技术带给我们的客户和合作伙伴
帮助他们通过实施NVIDIA技术解决方案来加速AI行业落地，继而提升企业整体运行效率并改善用户体验

[我们希望看到这样的你]  有以下任一经验即可
o    深度学习/机器学习相关经验,熟悉深度学习应用流程, 有相关开发经验为佳。
o    基于GPU系统的集群管理以及问题Debug经验
o    NVIDIA CUDA, TensorRT开发使用经验

What you’ll be doing:
o    Assist field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting customer in building innovative solutions based on NVIDIA technology.
o    Be an industry thought leader on integrating NVIDIA technology into HPC architectures to support Scientific and engineering applications.
o    Be an internal champion for Deep Learning or Data Science among the NVIDIA technical community.
What we need to see:
o    BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable.
o    3+ years of Deep Learning experience
o    Experience working with modern Deep Learning software architecture and application
o    Customer facing skill-set and background
o    Experience with Caffe, Theano, ConvNet or other Deep Learning Framework
o    Ability to multitask effectively in a fast paced environment
o    Action oriented with strong analytical and problem solving skills
o    Ability to successfully manage multiple accounts during implementation of new technology and products into very complex projects
Ways to stand out from the crowd:
o    CUDA optimization experience
o    Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks
o    Education research, Gov. funded research experience
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