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Solution Architect, Energy

NVIDIA

2.7

(9)

Multiple Locations

#JR1993914

Position summary

teams to develop solutions aligned with customer's requirements

  • Support the development of power generation and distribution use-cases in conjunction with customers

  • Keep learning the latest innovations in high performance computing and deep learning techniques

  • Give trainings and conferences on results using NVIDIA GPUs and platforms

What we need to see:

  • MS/PhD in Geophysics, Engineering, Computational Science/Physics, or related technical field

  • 5+ years of experience with AI, ML, DL, and/or Generative AI

  • 5+ years of industrial experience in high performance seismic imaging, geophysics and subsurface and/or power systems

  • Good programming skills using Python

  • Experience in scientific/engineering simulations (e.g. reservoir modeling, earth science, smart grids, renewables, nuclear energy, etc)

  • Experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow etc)

  • Familiarity with containers, numerical libraries, modular software design

  • Solid written and oral communications skills and familiarity with collaborative environments

  • Team players, creative abilities, can learn and adapt quickly

Ways to stand out from the crowd:

  • Experience using NVIDIA GPUs and platforms

  • Hands-on experience using HPC systems

  • Good knowledge of Physics-Machine Learning

  • Experience in Scientific Visualization

  • Background in digital twin technologies

NVIDIA is one of the technology industry's most desirable employer. If you're a creative person with a genuine passion for AI, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates' profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.