Solutions Architect, Energy OT and Industrial AI

Energy lies where AI meets the physical environment. NVIDIA's energy team aids operators in power generation, oil & gas, grid, and renewable fields as they progress from AI pilots to large-scale adoption — integrating secure, accelerated AI within control rooms, plants, substations, and field environments that uphold global operations. This role emphasizes that concluding step, converting NVIDIA's AI Factory, Omniverse, edge, and cybersecurity platforms into concrete results with our clients and collaborators. We are looking for an Energy OT / Industrial AI Solutions Architect to work with customers, partners, and NVIDIA engineers to bring AI into critical energy settings. This position links NVIDIA's AI platforms with workflows in control rooms, field operations, asset performance, and grid-edge that energy clients use. You will solve the last-mile deployment challenge to ensure secure and reliable AI across the energy value chain. This includes power generation, oil & gas and surface operations, transmission and distribution/grid, and renewables. You will apply NVIDIA technology and Python in operational-technology (OT) and industrial control system (ICS) environments. NVIDIA’s accelerated-computing platforms have already made a strong impact with top energy operators, utilities, and OEMs!

We seek a curious, collaborative, and creative individual to advance work in industrial digital twins, edge AI, OT cybersecurity, generative and agentic AI, forecasting, and accelerated simulation. This role requires becoming a trusted technical advisor linking our industry teams, partners, and customers. Engaging with internal developers, researchers, data scientists, and senior leaders is vital and offers opportunities to work with diverse partners and challenges.

* Partner with our industry and account teams to understand customer goals, strategies, and technical needs. Define and deliver high-value, GPU-accelerated AI solutions for energy operations that meet these needs.

* Develop industrial digital twins for plants, assets, and grids using Omniverse, OpenUSD, and PhysicsNeMo.

* Implement predictive asset maintenance and asset-performance management solutions.

* Deploy real-time AI at the edge for field, substation, and remote-site monitoring using Jetson/IGX and Metropolis.

* Improve OT/ICS cybersecurity and secure remote access with Morpheus and BlueField.

* Develop generative and agentic AI copilots for control-room and field workflows.

* Perform forecasting and rapid simulation for power systems, subsurface, and process engineering.

* Build industry direction by integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for energy applications.

* Strategically partner with flagship customers and industry-specific solution partners targeting our computing platform.

* Collaborate primarily through virtual tools, with up to 20% travel required, and be empowered to find the best way to make our partners and customers successful.

* MS or PhD in Electrical or Power Systems Engineering (or Chemical, Mechanical, or related engineering), Computer Science, Applied Mathematics, Physics, or equivalent experience.

* Strong practical understanding of one or more energy sectors and their operational technology. Experience includes OT/ICS and control systems like SCADA, EMS/ADMS/DERMS, DCS, and PI historians. Familiar with operational tasks such as asset-performance management and predictive maintenance.

* Experience with energy modeling and simulation tools — power-system tools such as