深圳招聘

NVIDIA is hiring Deep Learning Engineers for its Self-Driving Car Deep Learning team. Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing.

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun.

 

What you’ll be doing:

·         Inventing and applying state of the art deep learning algorithms to solve problems related to building autonomous vehicles.

·         Work on object detection, classification and segmentation based on images, radar and lidar data.

·         Interaction with various internal product and research teams contributing toward building a self-driving car software solution as well as partners and customers

What we need to see:

·         You have deep expertise in deep learning algorithms, machine learning, or nonlinear optimization.

·         Excellent programming, software design, and testing skills in Python, C++, or similar languages

·         Masters or PhD or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field.

Ways to stand out from the crowd:

·         Experience with deep learning frameworks such as TensorFlow, CNTK, Caffe, Torch, or Theano, especially for computer vision

·         Participation in deep learning competitions where you finished in the top 5

·         Experience with data-parallel and/or accelerated computing (CUDA, OpenCL)

·         Experience with embedded architectures, including DSP and hardware accelerators

 

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots

 

With deep learning, we can teach AI to do almost anything. New internet services, like Google Assistant, have learned speech from sound and provide a more natural way to access information. Self-driving cars use deep learning to recognize the space the car inhabits, the lanes in which it drives, and the objects to avoid. In healthcare, neural networks trained with millions of medical images can find clues in MRIs that until now could only be found through invasive biopsies. These are just a few examples. AI will spur a wave of social progress unmatched since the industrial revolution.

 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Deep Learning Software team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field.

- NVIDIA发明了GPU
1999 年，NVIDIA 发明了 GPU，这极大地推动了 PC 游戏市场的发展，重新定义了现代计算机图形技术，并彻底改变了并行计算。超级近，GPU 深度学习为现代人工智能 (AI) 这个新的计算时代带来了新动力 - GPU 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着大脑的作用。如今，NVIDIA 的 “AI 计算公司” 名头越来越为人所知。

- 超强计算性能
我们开创性地开发出一种超强计算形式，深受全世界对计算机有超高要求的用户的青睐，包括科学家、设计师、艺术家和游戏玩家。对于他们而言，我们的创造几可媲美时间机器。

- GPU 计算时代已然来临
摩尔定律的正确性保持了 30 年，因为当时微处理器的性能每年会提升 50%。但是，半导体物理学的限制意味着如今 CPU 性能每年只能提升 10%。NVIDIA GPU 计算已为行业开启崭新的道路，到 2025 年，计算性能将提升至现有水平的 1000 倍。

- NVIDIA 定义了现代计算机图形
我们于 1999 年研发的 GPU 将实时可编程着色技术变为现实，为艺术家提供了无限的调色板，供其挥洒创意。之后，我们一直引领着视觉计算领域的发展。

- GEFORCE - 世界***大游戏平台
计算机游戏业的产值高达 1000 亿美元，已成为世界***娱乐产业，而 NVIDIA GeForce 是该产业的***平台。GeForce？ GTX GPU 和 GeForce Experience？ 应用程序可将日常 PC 转变成强大的游戏机。我们的 GameWorks？ 软件允许开发者制作出更为逼真和引人入胜的游戏。

- 助力世界上运行速度最快的超级计算机
GPU 计算已成为高性能计算和数据中心的发展方向。NVIDIA 助力世界上运行速度最快的超级计算机，并为欧洲和日本最先进的系统提供支持。

- AI 时代
三种融合的力量带来了 AI 时代：海量的可用数据、深度学习算法的发明和 GPU 计算的高性能。新型互联网服务（如 Google Assistant）已学会了语音对话。自动驾驶汽车利用深度学习识别其占据的空间和需要避开的障碍物。就医疗保健领域而言，以数百万医学影像训练的神经网络可在 MRI 影像中捕捉到病因的蛛丝马迹，而人类目前只能凭借侵入性活检才能识别病因。

- 激励着我们回报社会
NVIDIA 全球员工总数接近 12000 名，其中硅谷员工约有 5000 名，他们均怀有强烈的企业责任感。2017 年，我们的慈善捐赠总额已超过 600 万美元。


“2017 年度商业人物” -《财富》

“全球*** CEO” -《哈佛商业评论》

“全球*** CEO” -《巴伦周刊》

“全球最聪明的 50 家公司” -《麻省理工科技评论》

“最具创新力公司” -《快公司》

“受雇员评价***的 CEO” - Glassdoor