Nvidia ITE
Solutions Architect, Energy OT and Industrial AI
US, TX, Remote
Sponsorship not specifiedDetected 5 days ago
PythonMATLABDockerKubernetesDeep LearningData ScienceAgentic AIForecastingPerformance ManagementSystems EngineeringPower ElectronicsControlsCommunicationSCADA
About the role
- Energy lies where AI meets the physical environment.
- This role emphasizes that concluding step, converting NVIDIA's AI Factory, Omniverse, edge, and cybersecurity platforms into concrete results with our clients and collaborators.
- This position links NVIDIA's AI platforms with workflows in control rooms, field operations, asset performance, and grid-edge that energy clients use.
Requirements
- MS or PhD in Electrical or Power Systems Engineering (or Chemical, Mechanical, or related engineering), Computer Science, Applied Mathematics, Physics, or equivalent experience.
- Experience includes OT/ICS and control systems like SCADA, EMS/ADMS/DERMS, DCS, and PI historians.
- Experience with energy modeling and simulation tools - power-system tools such as pandapower, OpenDSS, GridLAB-D, MATPOWER/PYPOWER, PSS®E, PSCAD, PowerWorld, DIgSILENT PowerFactory, or MATLAB/Simulink.
- Ability to transform energy and OT challenges into GPU-accelerated and AI workflows using NVIDIA's accelerated-computing and AI stack.
- Familiarity with grid and industrial data models, standards, and protocols.
- At least 4 years working in power systems, industrial/OT engineering, data science, or software development, or in comparable positions, demonstrating strong Python ability and understanding of GPU parallel processing.
- Experience with network software development, including NVIDIA BlueField DPUs.
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
Benefits
- Applied data science and machine-learning R&D on power-systems, grid, or industrial-asset data.
Company info
- 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.
- 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.
- 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.
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This listing is sourced directly from Nvidia ITE's careers page and normalized into a canonical job model.