北京招聘

We are now looking for Senior Automotive Software Manager

Under your engineering leadership you will oversee key parts of our software stack delivery and adaption to NVIDIA’s Automotive customers developing the next generation Autonomous Vehicle Technology.

You will help NVIDIA build and lead a world-class customer solutions software engineering team working with NVIDIA’s global engineering and customers in Europe

You are highly driven proactive software engineering leader with a proven track record of delivering Automotive software solutions from pre-sales to end of life.

The focus of this job is on delivering solutions leveraging NVIDIA’s platform and technologies, while influencing internal plans and road maps to support customer requirements.

You will drive continuous learnings and improvements into the team and across software.

You are able to work across various time zones and set up the right communication and alignment flows to get your job done.

NVIDIA has a rapid and creative environment that requires extreme adaptability, organization, and self-assurance with confidence to drive toward results while constantly problem-solving and engaging the commitment of others is essential.

What you’ll be doing:

• As an engineering leader you will help NVIDIA build, coach, and organize the team while driving the execution toward firm deliverables, negotiating requirements and deriving solutions and proposals, both with internal and external stakeholders.
• Develop engineering capabilities in China to work closely with our customers for crisp execution of projects
• Lead the analysis of customer software and systems requirements
• Drive the planning and response and subsequent execution of projects through shipment of product,
• Achieve functional , performance and quality targets for projects
• You will guide your engineering team to acquire skills, train on new technologies for validation and simulation to automotive solutions
• You will anticipate bottlenecks, mitigate project risks, make tradeoffs, and balance the business needs versus technical constraints
• You will work to constantly improve team productivity, refine agile processes, and create methods to increase efficiency by driving continuous improvement
• You are able to present and demonstrate NVIDIA technology , road maps and project status to customers, and to cultivate strong relationship to key engineering stakeholders that builds confidence, alignment and cooperative execution.

What we need to see:

• BS (or MS preferred) degree from a top university in Engineering in a relevant discipline. (Computer Science, Electrical/Electronic Engineering /Automotive)
• 10+ years of experience with embedded software
• 5+ Experience with embedded software development in Automotive SOCs using GreenHills Integrity, QNX or Linux
• Extensive experience working with/for Tier 1 or Automotive OEMs building entire ECU software stack
• Demonstrable skills as leader, coach and mentor, decision maker and nimble adapter to change in a fast innovative segment.
• Firsthand knowledge of agile development, ISO26262 and ASPICE
• Automotive validation tools, including SIL/HIL
• Knowledge of AutoSAR a plus
• Strong analytic, communication and interpersonal skills
• Strong on design process, project management and operations management
• Proven track record of meeting aggressive schedules, defining deliverables and timetables, with demonstrated ability to balance multiple priorities in complex environments and manage teams to successful project completion

  Ways to stand out from the crowd:

• 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 on the planet working for us. If you're creative and autonomous, we want to hear from you!

关于NVIDIA-AI 计算公司中的领导者

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。最近，GPU 深度学习为现代 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。

超强计算性能
为这个时代的达芬奇和爱因斯坦们提供超强计算性能
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，我们的创造几乎可媲美时间机器。
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。

GPU 计算时代
已然来临
摩尔定律在过去的30年里被证明是正确的，因为当时微处理器的性能每年会提升 50%。但是，半导体物理学的局限意味着如今 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***大娱乐产业，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***的系统提供支持。位于美国的 Summit 是目前世界上最智能、功能***大的超级计算机，具备超过每秒 200 千万亿次浮点运算的高性能计算性能和 3 exaOPS 的 AI 计算性能。Summit 融合了高性能计算和 AI，搭载了 27000 多个 NVIDIA Volta Tensor Core GPU 以运行计算，可加速科学发现的进程。

AI 时代
三种融合的力量推动了 AI 时代的到来：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。就医疗健康领域而言，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。
AI 将会大大促进社会蓬勃发展，这是之前任何一次工业革命都无法比拟的。

AI 汽车的大脑
自动驾驶车辆将革新市值高达 10 万亿美元的交通运输行业。NVIDIA DRIVE？ 是一个可扩展的 AI 汽车平台，可实现自动驾驶领域的全覆盖。从汽车公司和供应商到初创公司和研究组织，全球已有 超过225 家公司和机构采用该汽车平台。

智能机器和物联网的大脑
深度学习和价格合理的传感器为自主机器（即配备 AI 的物联网）的迅猛发展创造了绝佳条件。NVIDIA Jetson TX2 是一台嵌入式 AI 超级计算机，信用卡大小的模块可提供万亿次级的计算性能。 如此强大的性能将实现制造业新一轮的自动化浪潮，支持无人机探索危险地带，以及让机器人每天投递数百万的包裹。

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。

时至今日，NVIDIA 基金会的“Compute the Cure”计划已为抗癌事业提供超过 400 万美元的资助。此外，我们的“Techsplorer”计划为服务水平落后地区的青少年普及 AI 知识；自 2017 年启动以来，该计划已使超过 5,800 名学生受益。