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[招聘]NVIDIA火热招聘深度学习 (Deep Learning) 达人 [复制链接]

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只看楼主 倒序阅读 楼主  发表于: 2017-08-18
NVIDIA火热招聘深度学习(Deep Learning) 达人

在此附上NVIDIA深度学习亚太区相关职位的招聘信息,有意向或想查看詳細工作說明的朋友欢迎发送英文简历或來信至 allelin@nvidia.com      Wechat hrallenlin

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

基本要求:
1.      熟悉深度学习相关算法以及框架
2.      图像识别和检测经验优先
3.      熟悉计算机体系结构, CUDA相关经验优先;

1.Deep LearningSolution 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:
AssistNVIDIA Account Managers in supporting existing lighthouse accounts and drivingnew business in those accounts and new accounts.
•Delivertechnical projects, demos and client support tasks as directed by the SolutionArchitecture leadership team.
•Providetechnical support for GPU system deployments.
•Bean industry thought leader on integrating NVIDIA technology into applicationsbuilt on Deep Learning, High Performance Data Analytics, Robotics, SignalProcessing and other key applications.
•Bean internal champion for Data Analytics, Machine Learning, and Cyber among theNVIDIA technical community.

What we need to see:
1-3years experience with development and application of Machine Learning, dataanalytics, or computer vision work flows.
•Outstandingverbal and written communication skills
•Abilityto work independently with minimal day-to-day direction
•C/C++/Python/Java/Scalaprogramming experience
•Desireto be involved in multiple diverse and innovative projects
•Experienceusing scale-out cloud and/or HPC architectures for parallel programming
•MSor PhD in Engineering, Mathematics, Physics, Computer Science, Data Science,Neuroscience, Experimental Psychology or equivalent work experience.

Ways to stand out from the crowd:
•Experiencewith Deep Learning frameworks and tools, eg. Digits, Caffe, Torch, TensorFlow.
•CUDAoptimization experience.
Extensive experience designing and deploying large scaleHPC and enterprise computing systems.

2. Deep LearningPerformance Architect-Shanghai/Beijing/Shenzhen
工作职责
*
针对架构和算法特征开发汇编级或者CUDA代码
*
优化cuBlascuDNNTensorRT的核心kernel
*
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
* 严谨的逻辑思维和分析能力
*
CUDA代码调优经验或者SIMD等架构的调优经验
*
熟悉矩阵计算的优化和加速
*
较强编程能力、算法分析和实现
*
熟悉计算机体系结构

3.AIDeveloper Technology Engineer-Beijing
Job Description

NVIDIA is looking for a passionate, world-class computer scientist towork in its Compute Developer Technology (DevTech) team.
What you'll be doing:
1.      Study anddevelop cutting-edge techniques in deep learning, graphs, machine learning, anddata analytics, and perform in-depth analysis and optimization to ensure thebest possible performance on current- and next-generation GPU architectures.
2.      Workdirectly with key customers to understand the current and future problems theyare solving and provide the best AI solutions using GPUs.
3.      Collaborateclosely with the architecture, research, libraries, tools, and system softwareteams at NVIDIA to influence the design of next-generation architectures,software platforms, and programming models.
What we need to see:
1.      A gooddegree from a leading university in an engineering or computer science relateddiscipline (BS; MS or PhD preferred).
2.      Strongknowledge of C/C++, software design, programming techniques, and AI algorithms.
3.      Experiencewith parallel programming, ideally CUDA C/C++.
4.      Goodcommunication and organization skills, with a logical approach to problemsolving, good time management, and task prioritization skills.
5.      Some travelis required for conferences and for on-site visits with customers.

4 Solution Architect-ADAS-Beijing/Shanghai/Shenzhen
For more than two decades, NVIDIAhas pioneered visual computing, the art and science of computer graphics. Witha 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, visualcomputing & artificial intelligence are becoming increasingly central tohow people interact with technology, and there has never been a more excitingtime to join our team.
NVIDIA is at the forefront of the automotive revolution, powering many keysolutions for major car manufacturers. We are engaged in the key areas ofautomotive business where visual computing & AI matters: AI Cockpit, ADASand Autonomous cars.

READY TO HELP US CHANGE THE WORLD?
Comejoin our automotive team in China. We are now looking for an AutomotiveSolutions Architect to work with Chinese customers by using your expertise inAutonomous Driving and deep learning.
Whatyou’ll be doing: As anambassador of the NVIDIA Automotive Team, the Automotive Solution Architect isaccountable for driving new customer engagements by: ​
1.      Beingan industry thought leader on integrating NVIDIA technologies like AI, deeplearning into Automotive for AI cockpit & self-driving vehicles.
2.      Building& owning close technical relationship with customers/their partners.
3.      Workingwith automotive customers (OEM, Tier1s) and ecosystem partners like Researchers,ISV, IHV, Start-ups to develop cutting edge & new technologies throughproof of concepts & eventually productizing it.
4.      Workingwith teams worldwide in virtual teams to coordinate technical activities andcustomer support.
5.      Maintainingand updating customers on new NVIDIA technologies.
6.      Producttesting and qualification at customer premises (if required) including,reviewing, identifying, reproduction of customer bugs.
What we need to see:
1.      Atleast 5 years professional experience in embedded automotive systemarchitecture, software engineering or similar
2.      Profoundwork experience in embedded systems based development and machine learning /deep learning experience with understanding of state of the art deep learningtechniques
3.      Parallelprogramming expertise, exposure to GPU technology and CUDA programming is aplus.
4.      Demonstrableexperience in a technical customer facing position
5.      Outstandingwritten and oral communication skills in English.
6.      Willingnessto travel and work at customer site across Asia.
7.      Leadinguniversity degree in a hardware or software related discipline.
8.       Ways to stand out from thecrowd:
9.      5+years in Advanced Driver Assistance System (ADAS) or Autonomous drivingexperience is a plus.
10.  Strongdesire and drive to build robust and efficient solution in automotive productsusing deep learning technology
11.  Solidfoundation in computer vision methods and concepts
12.  Understandingof DNNs, CNNs, recurrent nets, supervised and unsupervised learning, andoptimization techniques
13.  Experienceworking with one or more deep learning frameworks such as Caffe, Torch etc. isa plus.
14.  Workexperience in sensor fusion, functional safety areas is a plus.

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

What you’ll be doing:
1.       NVIDIA is looking for a passionate, world-class deeplearning expert to work in system software team. In this role, you will co-workwith the team members and customer to apply deep learning with GPU-accelerationto different marketing, such as IVA, robot.
2.       This position will be quite challenging and excitingsince 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 tooptimize the inference performance on Tegra based Embedded platform.
4.       Implementing and optimizing MM SDK sample with deeplearning integration
5.       Working directly with deep learning expert from customerto understand the current and future problems they are solving, creating andoptimizing algorithms and data structures to provide the best solutions usingGPUs, through both library development and direct contribution to thealgorithm.

What we need to see:

6.       years customer support or software development experience
7.       A good degree from a leading university in an engineeringor computer science related discipline (BS; MS or PhD preferred).
8.       Strong knowledge of C/C++.
9.       Strong knowledge of software design, programmingtechniques, and algorithms.
10.    Strong mathematical fundamentals, including linear algebraand numerical methods.
11.    Experience with parallel programming, CUDA C/C++ is aplus
12.    Experience with popular deep learning framework, such asCaffe, Torch, etc
13.    Deep understanding of popular network, such as GoogleNet,Faster R-CNN, etc is a plus
14.    Ways to stand out from the crowd:
15.    Experience with the development on embedded system is aplus
16.    Good communication and organization skills, with alogical approach to problem solving, good time management, and taskprioritization skills.



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