本职位面向2013届毕业生,感兴趣的同学请按以下邮件主题发送中英文简历至campus@nvidia.com

应聘职位+毕业年份+姓名+学校+每周可实习天数

如：Compute DevTech Engineer/Intern+2013+张三丰+北京大学+每周5天

Compute DevTech Engineer/Intern
Location: Beijing

NVIDIA is revolutionizing High Performance Computing with its GPUs and this is an opportunity to contribute to this revolution as part of the Compute Developer Technology team. Your role will entail working with the team to research and develop GPU computing algorithms, drive their adoption with developers, and ensure best possible performance on current and next-generation architectures.
Minimum requirements:
- Good knowledge of C/C++, programming techniques, and algorithms
- Good mathematical fundamentals, including linear algebra and numerical methods
- Familiar with CPU system architecture and OS fundamentals
- Experience with parallel programming, especially data-parallel and/or CUDA programming, a plus
- MS in Computer Science, Engineering, Physics, Mathematical field, etc.
- Good communication skills
- Good problem solving skills

英伟达™ CUDA™: 英伟达™ CUDA™ 是英伟达™ (NVIDIA®) 公司的并行计算架构。 该架构通过利用GPU的处理能力，可大幅提升计算性能。目前为止基于英伟达™ 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英伟达™ 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。

英伟达™ (NVIDIA®)更多实习职位：nvidia.hiall.com.cn
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FROM 203.18.50.*