Solution Architect, Energy

NVIDIA NVIDIA · Semiconductors · France · Remote

Solution Architect with deep expertise in AI solutions for the Energy Industry, focusing on efficient use of compute platforms. The role involves being a trusted technical advisor, embedding NVIDIA software into customer architectures, improving application performance, and establishing foundations for next-gen AI systems. Responsibilities include supporting business development, working directly with developers and customers, analyzing architectures for acceleration, providing feedback to engineering/product/research, and delivering trainings/hackathons.

What you'd actually do

  1. Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
  2. Work directly with developers and customers in a customer-facing setting
  3. Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
  4. Analyze application architectures and find opportunities for acceleration.
  5. Provide feedback and collaborate with engineering, product and research teams.

Skills

Required

  • MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field
  • Minimum of 5 years of experience in AI, ML, DL, NLP, and/or Generative AI
  • Minimum of 5 years of industrial experience in power grid software and advanced ML to grid operations
  • Familiarity with accelerated computing platforms and GPU-based distributed systems
  • Experience in algorithm programming using languages like Python and C/C++
  • Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
  • Familiarity with containers, numerical libraries, modular software design, version control, GitHub
  • Experience designing, prototyping, and building complex AI/ML-based solutions for customers
  • Able to reason across components such as data pipelines, models, compute, networking, and orchestration
  • Solid written and oral communications skills and familiarity with collaborative environments

Nice to have

  • Development experience with NVIDIA software libraries and GPUs
  • Experience with Kubernetes, distributed training, and large-scale inference
  • Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages
  • Familiarity with embedded domain-specific languages (EDSL) like CUDA, OneAPI, OpenCL, or HDL

What the JD emphasized

  • Minimum of 5 years of experience in AI, ML, DL, NLP, and/or Generative AI
  • Minimum of 5 years of industrial experience in power grid software and advanced ML to grid operations
  • Experience designing, prototyping, and building complex AI/ML-based solutions for customers

Other signals

  • customer-facing
  • technical advisor
  • embedding NVIDIA software
  • application performance
  • developer productivity
  • next-generation AI systems
  • AI/ML/DL/Generative AI experience
  • industrial experience in power grid software and advanced ML
  • algorithm programming
  • AI frameworks
  • complex AI/ML-based solutions for customers
  • reason across components such as data pipelines, models, compute, networking, and orchestration