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Solution Architect, Energy

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)

Offer summary

Qualifications:

MS/PhD in Computer Science or related field, 5+ years of experience with AI and ML, 5+ years in power systems industry, Solid skills in PyTorch and HPC.

Key responsabilities:

  • Support technical projects with industry partners
  • Communicate with product and engineering teams

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NVIDIA XLarge http://www.nvidia.com
10001 Employees
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Job description

NVIDIA is dedicated to leveraging artificial intelligence and accelerated computing to drive transformative advancements in the energy sector. By combining GPU-accelerated solutions, deep learning, and cutting-edge physics-based machine learning approaches, we aim to revolutionize power generation, transmission, and geophysics applications.

We are seeking a Solution Architect to support innovative applications in geophysics, power generation, and transmission. As trusted technical advisors, Solution Architects collaborate closely with partners and customers in the industry, guiding them in adopting and optimizing NVIDIA's solution stack. We’re looking for a passionate, innovative, and committed candidate to empower customers in unlocking the full potential of our technology in the energy sector.

What you'll be doing:

  • Work on technical projects with industry and public sector organizations

  • Support the power industry business development and sales team

  • Communicate with product and engineering to build solutions aligned with customer’s requirements

  • Support the development of power generation and distribution use-cases based on our platforms

  • Keep learning the latest innovations in high performance computing and AI

  • Educating customers on using NVIDIA GPUs and platforms

What we need to see:

  • MS/PhD in Computer Science, 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 power systems

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

  • Solid skills in PyTorch and familiarity with containers, numerical libraries, modular software design

  • Hands-on experience using HPC systems and GPUs

  • 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

  • Good knowledge of Physics-Machine Learning

  • Experience in Scientific Visualization

  • Experience 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Teamwork
  • Communication
  • Creativity

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