Solution Architect, Energy

Germany
2 months ago
Applications closed

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for Solution Architects with deep expertise in AI solutions to drive the efficient use of groundbreaking compute platforms in the Energy Industry. In this role, you will be a trusted technical advisor to our developers and customers. You will be responsible for embedding NVIDIA software into customer architectures and workflows, you will play a direct role in improving application performance, increasing developer productivity, and establishing the technical foundation required for next-generation AI systems.

What you'll be doing:

  • 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.

  • Work directly with developers and customers in a customer-facing setting

  • Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.

  • Analyze application architectures and find opportunities for acceleration.

  • Provide feedback and collaborate with engineering, product and research teams.

  • Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.