NVIDIA

6 days ago

Solutions Architect, Energy OT and Industrial AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Build GPU-accelerated AI solutions for energy operations, partnering with industry and account teams to deliver secure, reliable deployments across control rooms, plants, substations, and remote field sites. Develop industrial digital twins (Omniverse/OpenUSD/PhysicsNeMo), predictive maintenance and asset performance, and edge AI using Jetson/IGX and Metropolis. Strengthen OT/ICS cybersecurity with Morpheus/BlueField, and create generative/agentic copilots plus forecasting and rapid simulation for power systems.

Location: Texas

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with industry and account teams to understand customer goals and deliver high-value GPU-accelerated AI solutions for energy operations.
•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 monitoring using Jetson/IGX and Metropolis, and improve OT/ICS cybersecurity and secure remote access using Morpheus and BlueField.
•Develop generative and agentic AI copilots, and perform forecasting and rapid simulation for power systems, subsurface, and process engineering.

Travel: Medium travel

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in Electrical/Power Systems Engineering (or related fields), Computer Science, Applied Mathematics, Physics, or equivalent experience.
•Strong practical understanding of energy-sector operational technology (OT/ICS) and control systems such as SCADA, EMS/ADMS/DERMS, DCS, and PI historians.
•Experience using energy modeling and simulation tools including pandapower, OpenDSS, GridLAB-D, MATPOWER/PYPOWER, PSS®E, PSCAD, PowerWorld, DIgSILENT PowerFactory, or MATLAB/Simulink.
•At least 4 years working in power systems, industrial/OT engineering, data science, or software development with strong Python ability and understanding of GPU parallel processing.
•Comfort with modern application-deployment practices such as Docker/Containers and Kubernetes, including deployment to the edge.

Experience:4+ yearsEnergyOperational technology (OT)Industrial control systems (ICS)Data scienceAI deploymentsDigital twins

Education:Master's in Electrical or Power Systems Engineering (or Chemical, Mechanical, or related engineering), Computer Science, Applied Mathematics, or Physics

Skills:CollaborationCommunicationProblem structuringSelf-directionTrusted technical advising

Tech Stack:PythonOmniverseOpenUSDPhysicsNeMoJetsonIGXMetropolisMorpheusBlueFieldSCADAEMSADMSDERMSDCSPI historiansPandapowerOpenDSSGridLAB-DMATPOWERPYPOWER

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

6 days ago

Solutions Architect, Energy OT and Industrial AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Texas

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with industry and account teams to understand customer goals and deliver high-value GPU-accelerated AI solutions for energy operations.
•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 monitoring using Jetson/IGX and Metropolis, and improve OT/ICS cybersecurity and secure remote access using Morpheus and BlueField.
•Develop generative and agentic AI copilots, and perform forecasting and rapid simulation for power systems, subsurface, and process engineering.

Travel: Medium travel

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in Electrical/Power Systems Engineering (or related fields), Computer Science, Applied Mathematics, Physics, or equivalent experience.
•Strong practical understanding of energy-sector operational technology (OT/ICS) and control systems such as SCADA, EMS/ADMS/DERMS, DCS, and PI historians.
•Experience using energy modeling and simulation tools including pandapower, OpenDSS, GridLAB-D, MATPOWER/PYPOWER, PSS®E, PSCAD, PowerWorld, DIgSILENT PowerFactory, or MATLAB/Simulink.
•At least 4 years working in power systems, industrial/OT engineering, data science, or software development with strong Python ability and understanding of GPU parallel processing.
•Comfort with modern application-deployment practices such as Docker/Containers and Kubernetes, including deployment to the edge.

Experience:4+ yearsEnergyOperational technology (OT)Industrial control systems (ICS)Data scienceAI deploymentsDigital twins

Education:Master's in Electrical or Power Systems Engineering (or Chemical, Mechanical, or related engineering), Computer Science, Applied Mathematics, or Physics

Skills:CollaborationCommunicationProblem structuringSelf-directionTrusted technical advising

Tech Stack:PythonOmniverseOpenUSDPhysicsNeMoJetsonIGXMetropolisMorpheusBlueFieldSCADAEMSADMSDERMSDCSPI historiansPandapowerOpenDSSGridLAB-DMATPOWERPYPOWER

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor