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[招聘] 【NVIDIA招聘】并行计算工程师-上海/北京

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发表于 2016-1-26 10:00:32 | 显示全部楼层 |阅读模式

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Hi, 大家好

目前NVIDIA在上海和北京招聘 并行计算工程师,希望熟悉并行运算(CUDA),有一定的编程经验(C/C++), 英文需要能够交流,附上职位描述,如有您有意向,欢迎发送简历到tracyw@nvidia.com QQ:1751315121

CUDA Library Engineer-shanghai
NVIDIA is searching for world-class software talent for an exciting role on our CUDA high-performance and scientific computing software team. The successful candidate will work with the most advanced parallel computing technology, and help improve the performance and developer experience as well as determine trends and features for next-generation architectures. You will interact closely with the architecture and other software teams at NVIDIA to ensure the best possible performance and results.
REQUIREMENTS:
- Excellent knowledge of C/C++ and programming techniques
- Strong mathematical fundamentals, ideally numerical methods, linear algebra, and FFT algorithms
- B.S. or higher degree in Computer Science/Engineering or mathematical field
- A strong team player that is self-motivated
- Great communication skills
- Good written and spoken English skills
Plusses:
- Knowledge of computer system architectures
- Experience with parallel programming, ideally CUDA C/C++ or OpenCL
- Experience with performance projections and tuning
- Experience in benchmarking

Parallel Computing Software Engineer-Beijing
Description/Qualifications:
To spearhead its breakthroughs in High Performance Computing, NVIDIA is looking for a passionate, world-class Software Engineer to work in its Developer Technology Team. In this role, you will open up new domains of application for GPUs by researching and developing GPU computing algorithms, driving their adoption with key application developers and ensuring best possible performance of GPU computing applications on current and next-generation architectures.
Application domains include geosciences, life sciences, computer-aided engineering, computational fluid dynamics, computational chemistry, computational physics, computational finance, electronic design automation, data mining, medical imaging, and many more.
RESPONSIBILITIES:
- Work directly with key US developers on their scientific applications, educating them on the latest NVIDIA technologies.
- Closely collaborate with the architecture and software teams at NVIDIA to influence the design of next-generation architectures.
- Some travel to conferences and for on-site visits with developers will be required.
MINIMUM REQUIREMENTS:
- A good degree from a leading university in an engineering or computer science related discipline.
- Strong knowledge of programming languages such as Fortran and C/C++.
- Strong knowledge of programming techniques and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Experience with parallel programming, especially data-parallel using MPI, OpenMP, OpenACC or CUDA C/C++/Fortran.
- Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills.

Best Regards
Tracy
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