这边是NVIDIA HR Tracy,  我们目前在上海招聘  CUDA Library Engineer 的岗位,欢迎
 

1.熟悉算法 (mathematical fundamentals, ideally numerical methods, linear algebra, and FFT algorithms);
2.或者熟悉CUDA/OpenCL, GPGPU 体系结构;英文流利的朋友投递,   
3.  2016 年毕业的同学有实习岗位提供

职位描述如下,有意向者发送简历到 tracyw@nvidia.com   
计算正在从 CPU「中央处理」向 CPU 与 GPU「协同处理」的方向发展。 为了实现这一新
型计算模式,NVIDIA 发明了 CUDA 并行计算架构。该架构通过利用 GPU 的处理能力,可
大幅提升计算性能。

 

目前为止基于 CUDA 的 GPU 销量已达数以百万计,软件开发商、科学家以及研究人员正
在各个领域中运用  CUDA,其中包括图像与视频处理、计算生物学和化学、流体力学模拟、CT 图像再现、地震分析以及光线追踪等等。


 

CUDA Library Engineer
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

Best Regards
Tracy
Tracyw@nvidia.com