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基本要求:1. 熟悉深度学习相关算法以及框架2. 有图像识别和检测经验优先3. 熟悉计算机体系结构, 有CUDA相关经验优先; 工作地点：北京/上海/深圳简历投递： allelin@nvidia.com Wechat:hrallenlin 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 What you’ll be doing:· NVIDIA islooking for a passionate, world-class deep learning expert to work in systemsoftware team. In this role, you will co-work with the team members andcustomer to apply deep learning with GPU-acceleration to different marketing,such as IVA, robot. · This positionwill be quite challenging and exciting since no one ever does this job beforeall over the world.· Collaboratingclosely with the architecture, research, libraries, tools, and other softwareteams at NVIDIA to investigate how to optimize the inference performance onTegra based Embedded platform.· Implementingand optimizing MM SDK sample with deep learning integration· Workingdirectly with deep learning expert from customer to understand the current andfuture problems they are solving, creating and optimizing algorithms and datastructures to provide the best solutions using GPUs, through both librarydevelopment and direct contribution to the algorithm. What we need to see:· years customersupport or software development experience· A good degreefrom a leading university in an engineering or computer science relateddiscipline (BS; MS or PhD preferred).· Strongknowledge of C/C++.· Strongknowledge of software design, programming techniques, and algorithms.· Strongmathematical fundamentals, including linear algebra and numerical methods.· Experience withparallel programming, CUDA C/C++ is a plus· Experience withpopular deep learning framework, such as Caffe, Torch, etc· Deep understandingof popular network, such as GoogleNet, Faster R-CNN, etc is a plus· Ways to standout from the crowd:· Experience withthe development on embedded system is a plus· Goodcommunication and organization skills, with a logical approach to problemsolving, good time management, and task prioritization skills.
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