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NVIDIA英伟达招聘应届生/实习生-上海/北京

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工作地点:北京/上海
简历投递: allelin@nvidia.com     Wechat: hrallenlin
NVIDIA 秉持着高端技术不断耕耘深度学习及人工智能领域,因响应市场需求,目前在中国热招深度学习/计算机视觉/高性能计算/无人驾驶/并行计算相关的校招与实习岗位,请点击以下职位列表, 可获取详细职位描述
职位描述:
1.                             Compute Architect
2.                             Deep Learning Software Engineer
3.                             Automotive Solution Architect
4.                             Deep Learning Performance Architect
如果您或者身边的朋友想更多了解/申请我们的职位,请发送英文简历到 allelin@nvidia.com 同时附上您的毕业年份和倾向的工作地点 (北京、上海、深圳)
收到简历, 我们将及时与您联系,謝謝!

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NVIDIAHR  初中二年级  发表于 2017-8-11 17:17:39 | 显示全部楼层

NVIDIA火热招聘深度学习 (Deep Learning) 解决方案架构师

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 AccountManagers in supporting existing lighthouse accounts and driving new business inthose accounts and new accounts.
•Deliver technical projects, demos and client support tasks asdirected by the Solution Architecture leadership team.
•Provide technical support for GPU system deployments.
•Be an industry thought leader on integrating NVIDIA technology intoapplications built on Deep Learning, High Performance Data Analytics, Robotics,Signal Processing and other key applications.
•Be an internal champion for Data Analytics, Machine Learning, andCyber among the NVIDIA technical community.

What we need to see:
1-3 years experiencewith development and application of Machine Learning, data analytics, orcomputer 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 forparallel programming
•MS or PhD in Engineering, Mathematics, Physics, Computer Science,Data Science, Neuroscience, Experimental Psychology or equivalent workexperience.

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 andenterprise computing systems.

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