Solution Architect, Energy

NVIDIA

Ms/phd in machine learning or computational science
5+ years ai, ml, dl, nlp, or generative ai experience
5+ years industrial power grid software experience
This role involves acting as a trusted technical advisor to drive the efficient use of groundbreaking compute platforms in the Energy Industry

Job Summary

  • This role involves acting as a trusted technical advisor to drive the efficient use of groundbreaking compute platforms in the Energy Industry.
  • The successful candidate will support developers in adopting NVIDIA libraries and analyze application architectures to find opportunities for acceleration.
  • NVIDIA offers highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.

Matching Summary

Match Score: 85

This role involves acting as a trusted technical advisor to drive the efficient use of groundbreaking compute platforms in the Energy Industry.

Skills & Requirements

Must-have

  • MS/PhD in Machine Learning or Computational Science
  • 5+ years AI, ML, DL, NLP, or Generative AI experience
  • 5+ years industrial power grid software experience
  • Python and C/C++ algorithm programming skills
  • Experience with PyTorch or TensorFlow frameworks

Nice-to-have

  • Development experience with NVIDIA software libraries
  • Kubernetes and distributed training expertise
  • Familiarity with CUDA, OneAPI, or OpenCL
  • Experience with PCIe accelerators like FPGAs or DSPs
  • Embedded domain-specific languages (EDSL) knowledge

Key Requirements

  • Minimum 5 years of industrial experience in power grid software
  • Master's or PhD degree in related technical field
  • Deep expertise in AI solutions and GPU-based distributed systems

Work Rights

Not specified

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