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What you’ll be doing:
Assist customers GPU accelerate HPC applications.
Analyze High Performance Computing(HPC) applications to better understand their performance characteristics.
Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.
What we need to see:
BS/MS or equivalent experience in Computer Science or related engineering field.
8+ Years of programming experience.
Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures.
Experience with MPI, OpenMP, OpenACC, and CUDA.
Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Understand performance considerations, tradeoffs and impact.
Expert interpersonal skills, logical approach to problem solving, good time management and task prioritization skills. Excellent written and verbal communication skills.
Strong communication skills are required along with the ability to work in a dynamic product oriented team.
Experience is leading and/or management projects is a plus
Ways to stand out from the crowd:
You have a deep understanding of machine architectures and micro-architectures.
Experience with debugging and porting as well as assembly language programming is a significant advantage.
You will also be eligible for equity and .
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