NVIDIA火热招聘自动驾驶解决方案架构师（无人汽车） - QTCN开发网

只看楼主倒序阅读楼主发表于: 2017-07-06

基本要求:
·        熟悉深度学习相关算法以及框架或者熟悉CUDA编程
·        有汽车系统或者多媒体系统开发经验
·        英文口语流利

工作地点：北京/上海
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

Solution Architect-ADAS-Beijing/Shanghai/Shenzhen
For more than two decades, NVIDIAhas pioneered visual computing, the art and science of computer graphics. Witha singular focus on this field, we offer specialized platforms for the gaming,professional visualization, data center and automotive markets.
Our work is at the center of the most consequential mega-trends in technology —virtual reality, artificial intelligence and self-driving cars. Today, visualcomputing & artificial intelligence are becoming increasingly central tohow people interact with technology, and there has never been a more excitingtime to join our team.
NVIDIA is at the forefront of the automotive revolution, powering many keysolutions for major car manufacturers. We are engaged in the key areas ofautomotive business where visual computing & AI matters: AI Cockpit, ADASand Autonomous cars.
READY TO HELP US CHANGE THE WORLD?
Comejoin our automotive team in China. We are now looking for an AutomotiveSolutions Architect to work with Chinese customers by using your expertise inAutonomous Driving and deep learning.

What you’ll be doing:
Asan ambassador of the NVIDIA Automotive Team, the Automotive Solution Architectis accountable for driving new customer engagements by:
1.      Beingan industry thought leader on integrating NVIDIA technologies like AI, deeplearning into Automotive for AI cockpit & self-driving vehicles.
2.      Building& owning close technical relationship with customers/their partners.
3.      Workingwith automotive customers (OEM, Tier1s) and ecosystem partners likeResearchers, ISV, IHV, Start-ups to develop cutting edge & new technologiesthrough proof of concepts & eventually productizing it.
4.      Workingwith teams worldwide in virtual teams to coordinate technical activities andcustomer support.
5.      Maintainingand updating customers on new NVIDIA technologies.
6.      Producttesting and qualification at customer premises (if required) including,reviewing, identifying, reproduction of customer bugs.

What we need to see:
1.      Atleast 5 years professional experience in embedded automotive systemarchitecture, software engineering or similar
2.      Profoundwork experience in embedded systems based development and machine learning /deep learning experience with understanding of state of the art deep learningtechniques
3.      Parallelprogramming expertise, exposure to GPU technology and CUDA programming is aplus.
4.      Demonstrableexperience in a technical customer facing position
5.      Outstandingwritten and oral communication skills in English.
6.      Willingnessto travel and work at customer site across Asia.
7.      Leadinguniversity degree in a hardware or software related discipline.
8.       Ways to stand out from thecrowd:
9.      5+years in Advanced Driver Assistance System (ADAS) or Autonomous drivingexperience is a plus.
10.  Strongdesire and drive to build robust and efficient solution in automotive productsusing deep learning technology
11.  Solidfoundation in computer vision methods and concepts
12.  Understandingof DNNs, CNNs, recurrent nets, supervised and unsupervised learning, andoptimization techniques
13.  Experienceworking with one or more deep learning frameworks such as Caffe, Torch etc. isa plus.
14.  Workexperience in sensor fusion, functional safety areas is a plus.