Senior Parallel Computing Engineer

2 months ago


Shanghai, Shanghai, China NVIDIA Full time
Job Opportunity at NVIDIA

NVIDIA is seeking a highly skilled computer scientist to join its Compute Developer Technology (Devtech) team.

In this role, you will collaborate with key application developers to research and develop techniques for GPU-accelerating leading applications in high-performance computing fields, including machine and deep learning, scientific computing, and data processing.

Key Responsibilities:

  • Work closely with application developers to understand current and future problems, creating and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs.
  • Collaborate with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.
  • Some travel may be required for conferences and on-site visits with developers.

Requirements:

  • A degree in engineering or computer science from a university (BS; MS or PhD preferred).
  • 3+ years of work experience.
  • Strong knowledge of C/C++ and/or Fortran.
  • Expert knowledge of software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

NVIDIA offers highly competitive salaries and a comprehensive benefits package, making it one of the most desirable employers in the technology industry. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.



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