职位描述：
Job Description/Qualifications:
The NVIDIA GPU Computing Architecture group is seeking intern candidates with backgrounds in computer architecture and compute science to join our effort to advance the state of parallel computing.
Our team is designing the fastest and most efficient parallel architectures that power energy-efficient smart phones and the world's fastest super computers.
RESPONSIBILITIES:
Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in performance, programmability, efficiency and reliability
Analyze and prototype key algorithms for new GPU architectures
Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
MINIMUM REQUIREMENTS:
Strong programming skills in C, C , CUDA, Perl, OpenMP, MPI or Python
Strong background in computer architecture, compilers, parallel processing
Experience in systems-level performance modeling, profiling, and analysis
Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
Strong background in computer vision, machine learning is plus
If you are interested in this position, please reply your resume to harryf@
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