Architect Jobs

About The Position

Requirements

• 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 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.
• Familiarity with energy operations across the value chain — generation, grid operations and planning, interconnection, ISO/RTO markets, and field/surface operations — and the reliability and security regulatory environment.
• 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 modern Deep Learning software architecture and frameworks and the Python data-science ecosystem.
• Comfortable with modern application-deployment practices such as Docker/Containers and Kubernetes, including deployment to the edge.
• Excellent communication skills — able to explain complex technical trade-offs to both engineers and executive partners.
• Strong problem structuring and self-direction help drive ambiguous projects involving multiple interested parties to results.

Nice To Haves

• Applied data science and machine-learning R&D on power-systems, grid, or industrial-asset data.
• Creative generation of synthetic data to augment unusual energy and industrial datasets and stress-test models.
• Experience with network software development, including NVIDIA BlueField DPUs.
• Experience deploying AI in OT/ICS or industrial environments.
• Background with Agentic coding practices.

Responsibilities

• 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.

Benefits

• equity
• benefits