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What you will be doing:
In this position, you will research and develop techniques to accelerate leading applications in high performance computing fields within scientific computing or computational engineering.
Work directly with other technical experts in their fields (industry and academia) to understand and address their computational problems as their field evolves.
Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network architectures.
Craft and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
Guide key application developers, contribute directly to the applications, and develop reference codes and libraries.
Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
Occasional travel for conferences and on-site visits with developers.
What we need to see:
A Masters or PhD (or additional equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods.
5+ years of relevant software development experience.
A passion for performance optimization.
Programming fluency in C/C++ and/or Fortran with a deep understanding of algorithms, programming techniques, and software design.
Hands-on and current experience with parallel programming, ideally CUDA or OpenACC, as well as MPI, OpenMP.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
You will also be eligible for equity and .
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