Autonomous Driving Solution Architect
英伟达自动驾驶团队招聘：只要你精通底层的QNX, Hypervisor, 或者上层的环境感知，高清地图，高精定位或者规划控制等算法，都可以直接发简历联系我；工作地点：上海，北京，深圳。
For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With a 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, visual computing & artificial intelligence are becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team.
NVIDIA is at the forefront of the automotive revolution, powering many key solutions for major car manufacturers. We are engaged in the key areas of automotive business where visual computing & AI matters: AI Cockpit, ADAS and Autonomous cars.
What you will be doing:
Come join our automotive team in China. We are now looking for an Automotive Solutions Architect to work with Chinese customers by using your expertise in Autonomous Driving and deep learning.
As an ambassador of the NVIDIA Automotive Team, the Automotive Solution Architect is accountable for driving new customer engagements by:
Being an industry thought leader on integrating NVIDIA technologies like AI, deep learning into Automotive for AI cockpit & self-driving vehicles.
Building & owning close technical relationship with customers/their partners.
Working with automotive customers (OEM, Tier1s) and ecosystem partners like Researchers, ISV, IHV, Start-ups to develop cutting edge & new technologies through proof of concepts & eventually productizing it.
Working with teams worldwide in virtual teams to coordinate technical activities and customer support.
Maintaining and updating customers on new NVIDIA technologies.
Product testing and qualification at customer premises (if required) including, reviewing, identifying, reproduction of customer bugs.
What we need to see:
At least 2 years professional experience in embedded automotive system architecture, software engineering or similar
Profound work experience in embedded systems based development and machine learning / deep learning experience with understanding of state of the art deep learning techniques
Parallel programming expertise, exposure to GPU technology and CUDA programming is a plus.
Demonstrable experience in a technical customer facing position
Outstanding written and oral communication skills in English.
Willingness to travel and work at customer site across Asia.
Leading university degree in a hardware or software related discipline.
Ways to stand out from the crowd:
2+ years in Advanced Driver Assistance System (ADAS) or Autonomous driving experience is a plus.
Strong desire and drive to build robust and efficient solution in automotive products using deep learning technology
Solid foundation in computer vision methods and concepts
Understanding of DNNs, CNNs, recurrent nets, supervised and unsupervised learning, and optimization techniques
Experience working with one or more deep learning frameworks such as Caffe, Torch etc. is a plus.
Work experience in sensor fusion, planning, mapping, functional safety areas is a plus.
NVIDIA GPU 计算已成为这个时代的达芬奇和爱因斯坦们的必备工具。对于他们而言，我们的创造几可媲美时间机器。基于对更优质 3D 图形永无止境的需求以及当下庞大的游戏市场，NVIDIA 已在这个
虚拟现实、高性能计算和人工智能的交叉口，将 GPU 发展为计算机大脑。