About the role

Full-Stack Software Engineer designing and delivering edge intelligence and digital twin components for next-generation decentralized grid operations. Building foundations enabling autonomous, self-healing, and adaptive grid management in a fast-moving environment.

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.
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.
Contribute to the design of federated data and learning frameworks that connect distributed edge systems securely and reliably.
Contribute to engineer fault-tolerant data synchronization and concurrency control across distributed edge environments.
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 industry
Minimum 3+ years of hands-on experience in building real-time simulation platforms
Deep knowledge in SW engineering with experience in advanced Automation, federated data processing, and familiarity Digital twin.
Working knowledge and working experience of power system modeling and simulation tools such as EMT platforms (e.g. PSCAD,RTDS, Opal-RT).
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).
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 federated architectures, and resilient edge software applied to Transmission and distribution applications.

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
Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as 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