Responsibility:
Responsible for vectorization and parallelization of compute-intensive applications. Explore software/hardware changes to improve their DLP and TLP performance.

Qualification
1) Ph.D. or master candidate who can work full-time (3-4 full days a week) for at least 3-4 consecutive months at Beijing China
2) Good knowledge in computer architecture
3) Strong C/C++ coding proficiency, experiences with SIMD programming
4) Have proven experience and knowledge on parallel processing, proficient in at least one language, e.g., OpenMP, MPI, Win32 Threads, POSIX Threads.
5) Good English skills

Those who are interested and appear to fulfill the requirements please submit your resume and any supporting materials to hao.feng@intel.com

Thanks!
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