Solution Architect, Energy

NVIDIA NVIDIA · Semiconductors · Munich, Germany +3 · Remote

NVIDIA is seeking a Solution Architect with deep expertise in AI solutions to drive the efficient use of compute platforms in the Energy Industry. The role involves being a trusted technical advisor to developers and customers, embedding NVIDIA software, improving application performance, and establishing the foundation for next-generation AI systems. Responsibilities include supporting business development, working directly with customers, assisting in the adoption of NVIDIA software, analyzing architectures for acceleration opportunities, providing feedback to engineering teams, and delivering trainings and demonstrations. Requires an MS/PhD in a technical field, 5+ years of experience in AI/ML/DL/NLP/Generative AI, and 5+ years of industrial experience in power grid software and advanced ML for grid operations. Familiarity with accelerated computing, GPU systems, Python/C/C++, major AI frameworks, containers, and version control is essential. Experience designing and building complex AI/ML solutions, and reasoning across various system components is also required.

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.
  6. Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms

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 solutions
  • energy industry
  • AI, ML, DL, NLP, and/or Generative AI
  • power grid software and advanced ML to grid operations
  • algorithm programming
  • major AI frameworks
  • complex AI/ML-based solutions for customers
  • data pipelines, models, compute, networking, and orchestration