Full-Stack Software Engineer

Job Overview

Full‑Stack Software Engineer & Science – Resilient Edge & Decentralized Grid Operations
We’re building the foundation for next‑generation decentralized grid operations—distributing intelligence to the resilient edge to enable autonomous, self‑healing, and adaptive grid management.

• 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 test sites.
• Contribute to the design of federated data and learning frameworks that connect distributed edge systems securely and reliably.
• 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.

• Strong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, Type Script/React or Angular (UI).
• Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, Pulsar, Influx
  
  DB/Timescale
  
  DB, and observability stacks (Prometheus, Grafana).
• 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.
• Experience with federated architectures and resilient edge software applied to transmission and distribution applications.

• Master’s degree in 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 software engineering with experience in advanced automation, federated data processing, and familiarity with digital twin.
• Working knowledge of power system modeling and simulation tools such as 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 (IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus.

• Innovation in practice delivers measurable, customer‑validated outcomes.
• Entrepreneurial mindset: bias for action, curiosity for what’s possible, and cross‑functional collaboration.
• Comfortable working in agile, mission‑oriented teams.
• Clear communication; welcomes feedback and alternative viewpoints.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

This is a remote position.

No.

January 10, 2026.