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【全职】NVIDAI 深度学习 招聘

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发表于 2017-3-28 19:56:26 | 显示全部楼层 |阅读模式
Hello,
这边是NVIDIA HR Tracy ,在这里想同您分享NVIDIA最新的岗位信息;
我们目前在北京,上海 深圳  招聘Solution Architect  For Deep learning; 详细介绍如下,如有意向, 欢迎发送简历到 tracyw@nvidia.com             QQ: 3371515491
关于 NVIDIA
NVIDIA (纳斯达克代码:NVDA) 是一家计算机技术公司,公司一直在 GPU 加速计算的行业中勇当开路先锋。NVIDIA 以满足全球最苛刻的用户需求为己任,为游戏玩家、设计师以及科学家提供产品、服务以及软件,在虚拟现实、人工智能、专业可视化以及自动驾驶汽车等领域中带来出色的用户体验。

工作地点:  北京上海 深圳
SOLUTION ARCHITECT FOR DEEP LEARNING

NVIDIA is searching for a world-class engineer for an exciting role as a Solutions Architect. Work with the most exciting high-performance computing hardware, software and impactful projects. Help enable compelling customer productivity and develop lasting relationships with NVIDIA's Technology Partners by making NVIDIA technology an integral part of end-user solutions.

You will work with the latest High Performance Computing architectures (HPC) coupled with Machine Learning, and Big Data Analytics application providers and customers to create improved workflows and develop new, differentiated solutions. In addition you will evangelize and influence the NVIDIA GPU Computing experience

RESPONSIBILITIES:
- 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.
- Be an industry thought leader on integrating NVIDIA technology into HPC architectures to support Scientific and engineering applications.
- Be an internal champion for Deep Learning or Data Science among the NVIDIA technical community.

MINIMUM REQUIREMENTS:
Required Skills & Experience
- BS in Engineering, Mathematics, Physics, or Computer Science
- 3+ years of Deep Learning experience
- Experience working with modern Deep Learning software architecture and application
- Customer facing skill-set and background
- C programming experience
- Parallel programming expertise
- Exposure to GPU technology and CUDA programming
- Experience with OpenMP, MPI and other parallel programming languages
- Experience with Caffee, Theono, Convnet or other Deep Learning Framework
- Experience working with supercomputing and technical computing customers
- Ability to communicate effectively with customers
- Strong teamwork and interpersonal skills
- Ability to multitask effectively in a fast paced environment
- Action oriented with strong analytical and problem solving skills
- Ability to successfully manage multiple accounts during implementation of new technology and products into very complex projects


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