我们是Glassdoor选出的“最佳工作场所”
我们是《人物》选出的“年度关爱公司”
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......

我们这里有无微不至的关爱
我们这里还有“评价最高的CEO”
......
我们，就是AI计算的引领者NVIDIA
......
梦想的机会就在眼前
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NVIDIA 英伟达深度学习岗位汇总

目前热招岗位:
1.　　Deep Learning Solution Architect-Beijing/Shanghai/Shenzhen
2.　　Deep Learning Performance Architect-Shanghai
3.　　AI Developer Technology Engineer –Beijing
4.　　Solution Architect-Automotive-Beijing/Shanghai
5.　　Deep Learning Software Engineer (Compute Vision)-Shanghai/Shenzhen
6.　　Deep Learning Instructor-Beijing

基本要求:
1.　　熟悉深度学习相关算法以及框架
2.　　有计算机视觉经验优先
3.　　熟悉计算机体系结构, 有CUDA 相关经验优先;

有意向的朋友请发送英文简历到 tracyw@nvidia.com　Wechat：1751315121


1.Deep Learning Solution Architect-Beijing/Shanghai/Shenzhen
目前NVIDIA在中国热招解决方案架构师， 该岗位致力于协同客户经理将NVIDIA最新的深
度学习/高性能计算解决方案与技术带给我们的客户, 帮助客户通过实施NVIDIA技术解决
方案来提升整体效率
What you’ll be doing:
1.　　Assist NVIDIA Account Managers in supporting existing lighthouse accounts　
and driving new business in those accounts and new accounts.
2.　　Deliver technical projects, demos and client support tasks as directed by　
the Solution Architecture leadership team.
3.　　Provide technical support for GPU system deployments.
4.　　Be an industry thought leader on integrating NVIDIA technology into　
applications built on Deep Learning, High Performance Data Analytics,　
Robotics, Signal Processing and other key applications.
5.　　Be an internal champion for Data Analytics, Machine Learning, and Cyber　
among the NVIDIA technical community.

What we need to see:　
1.　　1-3 years experience with development and application of Machine Learning,
data analytics, or computer vision work flows.
2.　　Outstanding verbal and written communication skills
3.　　Ability to work independently with minimal day-to-day direction
4.　　C/C++/Python/Java/Scala programming experience
5.　　Desire to be involved in multiple diverse and innovative projects
6.　　Experience using scale-out cloud and/or HPC architectures for parallel　
programming
7.　　MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data　
Science, Neuroscience, Experimental Psychology or equivalent work experience.


Ways to stand out from the crowd:
1.　　Experience with Deep Learning frameworks and tools, eg. Digits, Caffe,　
Torch, TensorFlow.
2.　　CUDA optimization experience.
3.　　Extensive experience designing and deploying large scale HPC and　
enterprise computing systems.

2. Deep Learning Performance Architect-Shanghai
工作职责：　
1.　　针对架构和算法特征开发汇编级或者CUDA代码　
2.　　优化cuBlas、cuDNN、TensorRT的核心kernel；　
3.　　针对未来GPU架构开发原型代码，推进下一代架构的设计和优化；　

基本要求：　
1.　　严谨的逻辑思维和分析能力　
2.　　较强编程能力、算法分析和实现　
3.　　有CUDA代码调优经验（或者SIMD等架构的调优经验）　
4.　　熟悉矩阵计算的优化和加速
5.　　熟悉计算机体系结构　

3.AI Developer Technology Engineer-Beijing/Shanghai
NVIDIA is looking for a passionate, world-class computer scientist to work　
in its Compute Developer Technology (DevTech) team.
What you''ll be doing:
1.　　Study and develop cutting-edge techniques in deep learning, graphs,　
machine learning, and data analytics, and perform in-depth analysis and　
optimization to ensure the best possible performance on current- and next-
generation GPU architectures.
2.　　Work directly with key customers to understand the current and future　
problems they are solving and provide the best AI solutions using GPUs.
3.　　Collaborate closely with the architecture, research, libraries, tools,　
and system software teams at NVIDIA to influence the design of next-
generation architectures, software platforms, and programming models.
What we need to see:
1.　　A good degree from a leading university in an engineering or computer　
science related discipline (BS; MS or PhD preferred).
2.　　Strong knowledge of C/C++, software design, programming techniques, and　
AI algorithms.
3.　　Experience with parallel programming, ideally CUDA C/C++.
4.　　Good communication and organization skills, with a logical approach to　
problem solving, good time management, and task prioritization skills.
5.　　Some travel is required for conferences and for on-site visits with　
customers.

4 Solution Architect-ADAS-Beijing/Shanghai/Shenzhen
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.
READY TO HELP US CHANGE THE WORLD?　
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.
What you’ll be doing: As an ambassador of the NVIDIA Automotive Team, the　
Automotive Solution Architect is accountable for driving new customer　
engagements by:　
1.　　Being an industry thought leader on integrating NVIDIA technologies like　
AI, deep learning into Automotive for AI cockpit & self-driving vehicles.
2.　　Building & owning close technical relationship with customers/their　
partners.
3.　　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.
4.　　Working with teams worldwide in virtual teams to coordinate technical　
activities and customer support.
5.　　Maintaining and updating customers on new NVIDIA technologies.
6.　　Product testing and qualification at customer premises (if required)　
including, reviewing, identifying, reproduction of customer bugs.
What we need to see:　
1.　　At least 5 years professional experience in embedded automotive system　
architecture, software engineering or similar
2.　　Profound work experience in embedded systems based development and　
machine learning / deep learning experience with understanding of state of　
the art deep learning techniques
3.　　Parallel programming expertise, exposure to GPU technology and CUDA　
programming is a plus.
4.　　Demonstrable experience in a technical customer facing position
5.　　Outstanding written and oral communication skills in English.
6.　　Willingness to travel and work at customer site across Asia.
7.　　Leading university degree in a hardware or software related discipline.
8.　　Ways to stand out from the crowd:　
9.　　5+ years in Advanced Driver Assistance System (ADAS) or Autonomous　
driving experience is a plus.
10.　　Strong desire and drive to build robust and efficient solution in　
automotive products using deep learning technology
11.　　Solid foundation in computer vision methods and concepts
12.　　Understanding of DNNs, CNNs, recurrent nets, supervised and unsupervised　
learning, and optimization techniques
13.　　Experience working with one or more deep learning frameworks such as　
Caffe, Torch etc. is a plus.
14.　　Work experience in sensor fusion, functional safety areas is a plus.



5. Deep Learning Software Engineer (Compute Vision)-Shanghai/Shenzhen/
Beijing

What you’ll be doing:
1.　　NVIDIA is looking for a passionate, world-class deep learning expert to　
work in system software team. In this role, you will co-work with the team　
members and customer to apply deep learning with GPU-acceleration to　
different marketing, such as IVA, robot.　
2.　　This position will be quite challenging and exciting since no one ever　
does this job before all over the world.
3.　　Collaborating closely with the architecture, research, libraries, tools,　
and other software teams at NVIDIA to investigate how to optimize the　
inference performance on Tegra based Embedded platform.
4.　　Implementing and optimizing MM SDK sample with deep learning integration
5.　　Working directly with deep learning expert from customer to understand　
the current and future problems they are solving, creating and optimizing　
algorithms and data structures to provide the best solutions using GPUs,　
through both library development and direct contribution to the algorithm.

What we need to see:

1.　　years customer support or software development experience
2.　　A good degree from a leading university in an engineering or computer　
science related discipline (BS; MS or PhD preferred).
3.　　Strong knowledge of C/C++.
4.　　Strong knowledge of software design, programming techniques, and　
algorithms.
5.　　Strong mathematical fundamentals, including linear algebra and numerical　
methods.
6.　　Experience with parallel programming, CUDA C/C++ is a plus
7.　　Experience with popular deep learning framework, such as Caffe, Torch,　
etc
8.　　Deep understanding of popular network, such as GoogleNet, Faster R-CNN,　
etc is a plus
9.　　Ways to stand out from the crowd:
10.　　Experience with the development on embedded system is a plus
11.　　Good communication and organization skills, with a logical approach to　
problem solving, good time management, and task prioritization skills.

6.Deep learning instructor-Beijing
NVIDIA is searching for a world-class trainer to help create and deliver　
high-quality hands-on GPU programming content, focused in Deep Learning:
As an integral member of the Deep Learning Institute team, you will be　
responsible for:　
1. Developing curriculum and training content for data scientists and　
software developers;　
2. Training/certifying other instructors to teach DLI content; presenting on-
site Deep Learning workshops;　　
3. Delivering webcasts and office hours for online courses;
4. This role presents an opportunity for an accomplished candidate with a　
capacity to learn quickly and exercise good judgment to gain in-depth　
experience driving growth in GPU-accelerated Deep Learning training within　
the developer community.　
What we need to see:
1.　　　 Bachelor’s degree in computer science/engineering or equivalent　
experience;
2.　　　 2+ years of experience in Machine Learning or Deep Learning;
3.　　　 Experience creating training content for developers;
4.　　　 Comfortable presenting to technical audiences　
5.　　　 Strong relationship management skills; ability to handle multiple　
projects simultaneously　
6.　　　 Ability to work cross-functionally across many levels of a matrixes　
organization　
7.　　　 Willing to travel (45-60%)



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领航，确定方向，找到答案。如果你喜欢不确定性，喜欢挑战未知，欢迎加入我们;