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[招聘] [NVIDIA英伟达]深度学习/并行计算职位汇总 [复制链接]

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发表于 2017-3-9 16:31:14 |显示全部楼层
NVIDIA火热招聘深度学习 (Deep Learning) 达人

这边是NVIDIA HR Tracy, 负责NVIDIA深度学习亚太区相关职位的招聘; 在此附上最新的岗位信息,有意向的朋友欢迎发送英文简历到 tracyw@nvidia.com     Wechat :1751315121

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

1. AI Developer Technology Engineer-Beijing
Job Description
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.

2. 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.

3. 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 the area of 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.       1+ 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%)

4. Deep Learning Performance 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cuBlas、cuDNN、TensorRT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
* 有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
Are you obsessed with performance?  Do you like to work at the intersection of hardware and software?  Do you live and breathe deep learning?  NVIDIA is seeking world class programmers and performance architects who love to squeeze out every cycle of performance from deep learning codes.  In this role, you will write code that ships in our deep learning libraries, as well as guide the direction of our future GPU architectures.  This position offers the opportunity to have real impact in a fast-moving, technology-focused company.
RESPONSIBILITIES:
•        Develop state of the art, performance critical code to accelerate deep learning on NVIDIA's platforms.
•        Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in deep learning performance and efficiency
•        Analyze and prototype key deep learning and data analytics algorithms and applications
•        Understand and analyze the interplay of hardware and software architectures on future algorithms and applications
•        Collaborate across the company to guide the direction of machine learning, working with software, research and product teams
DESIRED SKILLS and EXPERIENCE:
•        MS or PhD in relevant discipline (CS, EE, Math)
•        Track record of optimizing code for performance on CPUs or GPUs, including assembly or SIMD programming
•        Strong mathematical foundation in machine learning and deep learning
•        Experience working with deep learning frameworks like Caffe, TensorFlow and Torch
•        Strong programming skills in C, C++, Perl, or Python
•        Familiarity with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP)
•        Strong background in computer architecture
•        Experience with matrix multiply and convolution algorithms

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:

6.        years customer support or software development experience
7.        A good degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred).
8.        Strong knowledge of C/C++.
9.        Strong knowledge of software design, programming techniques, and algorithms.
10.        Strong mathematical fundamentals, including linear algebra and numerical methods.
11.        Experience with parallel programming, CUDA C/C++ is a plus
12.        Experience with popular deep learning framework, such as Caffe, 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 a plus
16.        Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

6. Developer Technology Engineer of Machine Learning -Shanghai
•        We are now looking for a Developer Technology Engineer of Machine Learning:
•        What you’ll be doing:
•        1.       Applied research on machine learning, using deep learning frameworks to create various applications
•        2.       Analyze performance of machine learning systems and applications Interact with software developer to provide GPU based solutions Write technical reports, white papers and present at conferences
•        3.       Work closely with the architecture and driver teams on determining trends and features for next generation hardware
•        What we need to see:  
•        1.       MS degree or higher in computer science or related majors
•        2.       Strong background of machine learning and GPU technologies, including neural networks, parallel computing,CUDA programming and  performance analysis
•        3.       Master in one or several of the deep learning frameworks: Caffe,  TensorFlow, Theano, Torch or similar software.
•        4.       Experience in developing deep learning based applications, such as pattern recognition, anomaly detection and data mining.
•        5.       Strong knowledge of C++, Python and programming techniques.
•        Ways to stand out from the crowd:
•        1.       Computer game or real-time 3Dapplication development experience highly desirable.
•        2.       Understanding of GPU architectures a plus.
•        3.       Good communication skills required.
•        4.       Travel for on-site visits with developers and to conferences will be required.


我们身处无人区, 无人领航,没有方向,没有答案,有的只有待解决的技术问题。我们领航,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;


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