Full-Stack Software Engineer at GE Vernova designing edge intelligence for decentralized grid operations. Collaborating with teams to deliver real-time reliability and autonomy in energy systems.
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
Requirements
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
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
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)
Track record of building, shipping, and scaling complex software systems
Exposure to grid operations, DER management, and industrial IoT environments
Experience with real-time or cyber-physical systems where latency and reliability are key
Familiarity with grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong 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, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
access to Fidelity resources and financial planning consultants
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