深圳招聘

NVIDIA is searching for extraordinary full stack engineers to work on our AI Infra team. Our team is enabling NVIDIA and our customers to more easily scale up machine learning workflows - machine learning at scale require a new vocabulary for organizing and managing data, jobs and users. We are building and optimizing human in the loop pipelines which enable massive state of the art systems in Artificial Intelligence / Machine Learning at NVIDIA and for our customers in many application spaces including medical imagery and autonomous driving.

What you will be doing:

·         You will be collaborating with a diverse team of front and back-end engineers as well as machine learning, deep learning experts.

·         You will be creating human in the loop and management interfaces at the frontier of what is possible in machine learning today and getting front seat view of the action in this very hot space from a team and a company driving the progress at the cutting edge.

What we need to see:

·         Golang, Spring Cloud, Python, Node

·         Knowledge of REST APIs

·         Web stack backend: Postgres, SQL, MongoDB, redis,

·         Knowledge of AWS / Aliyun tools and capabilities

·         Comfortable with a customer focused, high paced environment.

·         Well versed in agile methodology.

·         Experience in software shipping cycles (dev, deploy, release, CI) and open-source software dev.

·         You are highly motivated, passionate and curious about new technologies. You take pride in your work and strive to achieve incredible results and possess excellent communication and planning skills.

·         Ability to work successfully with multi-functional teams, principals and architects. Coordinates effectively across organizational boundaries and geographies.

Ways to stand out from the crowd:

·         Understanding of JavaScript/CSS/HTML5, working knowledge of Angular.

·         Team player, loves to work in a team environment

·         Native Mandarin, Fluent English

 

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 a creative and autonomous software engineer with a genuine passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you.

 

- 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