Full-Stack Software Engineer & Scientist (Virtual Sensing) jobs in United States
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GE Vernova · 5 hours ago

Full-Stack Software Engineer & Scientist (Virtual Sensing)

positionUnited States
timeFull-time
remoteRemote
seniorityMid, Senior Level
money$89K/yr - $148K/yr
date5+ years exp

GE Vernova is building the foundation for next-generation decentralized grid operations. As a Full-Stack Software Engineer & Scientist (Virtual Sensing), you will develop edge-native software and advanced virtual sensing algorithms to enhance grid management and operations.

EnergyEnergy EfficiencySustainability
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Responsibilities

Build and deploy edge-native software components for decentralized operation, sensing, and control
Develop federated data pipelines that allow distributed nodes to collaborate securely without central coordination
Develop and deploy robust virtual sensing algorithms to infer critical power grid parameters (e.g., voltage stability, phase angles, line temperature, asset health) from limited sensor data available at the grid edge
Deploy adaptive edge intelligence and control logic at the edge, enabling real-time grid intelligence with minimal latency and network
Collaborate with power systems engineers to validate virtual sensor accuracy against physical models and real-world data from substations, field devices, and peer sensors
Integrate field data sources (SCADA, PMUs, DER controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus)
Support experimentation and prototyping in simulation environments and customer’s test sites
Collaborate with systems and data engineers to close the loop between simulation and live operations
Collaborate with cross-functional teams to integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms
Work closely with data scientists, control engineers, infrastructure specialists and Customers, to integrate software with physical grid systems

Qualification

Virtual sensing algorithmsEdge-native softwareFederated architecturesControl theoryMATLABPythonKubernetesAI/ML modelsDigital Twin modelingEntrepreneurial mindsetCommunicationCross-functional collaboration

Required

Working experience with Transmission and distribution, and federated architectures, and resilient edge software
Strong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular(UI)
Deep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana)
Solid understanding of control theory and signal processing techniques for application in virtual sensing systems, such as Kalman filters or other state estimation methods
Experience in integrating virtual sensor outputs into existing control loops for real-time monitoring, process optimization, and predictive maintenance applications
Ability to evaluate and test the performance and reliability of developed virtual sensors
Skilled in interpreting complex sensor data outputs and translating insights into actionable virtual sensor models
Work experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML model algorithms
Hands-on work with AI/ML models in production environments
Work experience in federated architectures, and resilient edge software applied to Transmission & Distribution application

Preferred

Master's degree electrical engineering or computer science with a minimum of 5 years' experience in the power or industrial system domain
Minimum 3+ years of hands-on experience in building real-time or simulation-based system
Proven experience in software engineering with, Automation, distributed/federated data processing
Track record of building, deploying, and scaling complex software systems
Familiarity with grid operations, DER management, and industrial IoT/IIoT
Experience with real-time or cyber-physical systems requiring low latency and high reliability
Knowledge of grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus
Familiarity with power system modeling and simulation tools such as EMT platforms (e.g. PSCAD, RTDS, Opal-RT) is a plus

Benefits

Medical, dental, vision, and prescription drug coverage
Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Access to Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off

Company

GE Vernova

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GE Vernova provides energy consulting, gas power, and grid solutions.
dateFounded in 2024
location
Boston, Massachusetts, USA
people-size10001+ employees
web-link
https://www.gevernova.com

Funding

Current Stage
Public Company
Total Funding
$7.68M
Key Investors
U.S. Department of Energy Office of ElectricityARPA-E
2024-12-03Grant· $1.99M
2024-12-03Grant· $2.99M
2024-11-18Grant· $2.7M

Leadership Team

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Scott Reese
President and CEO, GE Digital
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Scott Strazik
Chief Executive Officer
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Recent News

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