About the role

Full-Stack Software Engineer & Scientist developing edge-native software for decentralized grid operations. Working on virtual sensing algorithms and intelligent control systems to enhance grid management.

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

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

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, a 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