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Accelerated Compute Systems Performance Architect

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Accelerated Compute Systems Performance Architect in Others

  • Shanghai, China

Responsibilities

  • Analyze and optimize performance on current and next-generation NVIDIA GPUs.
  • Analyze the interaction between hardware and software architectures, algorithms, programming models, and applications.
  • Collaborate with hardware design, software engineering, product, and research teams on accelerated-computing direction.
  • Investigate accelerated-computing applications to support software-hardware co-design.
  • Document and present work through white papers, conference publications, blog posts, and patent applications.

Requirements

  • Pursuing a B.Sc., M.Sc., or Ph.D. in a relevant discipline such as computer science, electrical engineering, or computer engineering.
  • Hands-on experience with massively parallel GPU programming using CUDA or OpenCL.
  • Solid background in GPU and computer systems architecture.
  • Strong knowledge of C and C++, software design, programming techniques, and algorithms.
  • Familiarity with MPI, OpenSHMEM/NVSHMEM, and Python is preferred.
  • Strong communication, organization, problem-solving, time-management, and task-prioritization skills.

Nvidia

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is n...

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