Senior Software Engineer & Scientist – Virtual Sensing and Decentralized Grid Operations
West Melbourne, FL - USA
Job Summary
As a Senior Software Engineer & Scientist (Virtual Sensing) you will develop edge-native software advanced virtual sensing algorithms and intelligent control systems that bridge physics AI and distributed computing. This is a high-impact hands-on role in a startup-style fast-moving environment within GE Vernovas CTO organization. You will report directly to the Electrification Chief Architect and collaborate across simulation real-time edge deployments and field validation to transform how the grid senses and responds.
- 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 industrial IoT protocols (LoRa MQTT DNP3 Modbus).
- 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 edge sensor data.
- Deploy adaptive edge intelligence and control logic to enable real-time grid insights with minimal latency.
- Apply control theory and signal processing techniques (e.g. Kalman filters state estimation) to refine virtual sensor accuracy.
- Collaborate with power systems engineers to validate virtual sensor performance against physical models and real-world field data.
- Bridge the gap between simulation environments and live grid operations to close the loop.
- Integrate AI/ML capabilities federated control frameworks and digital twins into next-generation grid platforms.
- Software Engineering: Proficiency in Python Go or Rust (backend/edge) and TypeScript/React or Angular (UI).
- Edge/Cloud Infrastructure: Deep experience with Kubernetes/K3s Kafka/NATS MQTT gRPC and Pulsar.
- Data & Observability: Hands-on experience with InfluxDB/TimescaleDB and observability stacks (Prometheus Grafana).
- Domain Expertise: Proven experience with federated architectures resilient edge software and Transmission & Distribution (T&D) applications.
- Scientific Aptitude: Strong understanding of signal processing control theory and state estimation methods.
- AI/ML: Experience developing and deploying AI/ML models in production environments.
- Education: Masters degree in electrical engineering Computer Science or a related field with 5 years of experience.
- Simulation Tools: Familiarity with EMT platforms (PSCAD RTDS Opal-RT).
- Digital Twins: Experience with OpenFMB Modelica or graph-based modeling.
- Grid Standards: Knowledge of IEEE 2030.5 IEC 61850 or similar utility protocols.
- Mission: Work at the forefront of the energy transition solving the most critical challenges of the modern grid.
- Impact: Influence the architecture of decentralized autonomous energy systems.
- Environment: Enjoy a startup-style agile culture backed by the global reach and resources of GE Vernova.
#LI-SG1
GE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual 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).
Relocation Assistance Provided: Yes
Required Experience:
Senior IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.