NVIDIA Compute Arch 是一个处于业界最前沿的团队,研究的范畴包括 GPU 架构设计和 GPU 应用的优化(计算机视觉,深度学习、无人驾驶)等。欢迎有高性能计算、计算机体系结构背景,具有一定编程能力和数据分析能力的同学加入。如果还接触过 Computer Vision 或 Machine Learning 那就更好啦!
薪水的话,在 IC 行业的同等职位里算是最高的了,即便和上海本地的互联网公司相比也毫不逊色。此职位可实习,实习工资没记错的话是每月 4K RMB(非全勤也是这个数)。简历请直接发到我的邮箱 mlv#
nvidia.com。
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The NVIDIA GPU Computing Architecture group is looking for world class computer architects to join and lead our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures from automotive to the world's fastest super computers.
RESPONSIBILITIES (possible directions):
• Enhance GPU architectures to extend the state of the art in performance, efficiency, programmability and reliability
• Analyze, tune and prototype key applications for new GPU architectures
• Build model to predict performance, power and reliability on future architecture
• Design, and develop tools to analyze, simulate, validate, and verify application performance, and energy consumption
• Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
DESIRED SKILLS and EXPERIENCE:
• MS Degree in relevant discipline (CS, EE, Math). PhD helpful
• Strong programming skills in C or C++
• Strong background in computer architecture, parallel processing, signal processing and/or high performance computing
• Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results
• Optional/Plus - Background in computer vision, machine learning, or any HPC domain
• Optional/Plus - Strong programming skills in CUDA, Perl, OpenMP, MPI or Python
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https://www.v2ex.com/t/203738
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