Senior Software Engineer & Scientist – Virtual Sensing and Decentralized Grid Operations
About The Position
We are building the foundation for next-generation decentralized grid operations—distributing intelligence to the resilient edge to enable autonomous, self-healing, and adaptive grid management. 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 Vernova’s 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.
Requirements
- Proficiency in Python, Go, or Rust (backend/edge) and TypeScript/React or Angular (UI).
- Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, and Pulsar.
- Hands-on experience with InfluxDB/TimescaleDB and observability stacks (Prometheus, Grafana).
- Proven experience with federated architectures, resilient edge software, and Transmission & Distribution (T&D) applications.
- Strong understanding of signal processing, control theory, and state estimation methods.
- Experience developing and deploying AI/ML models in production environments.
Nice To Haves
- Master’s degree in electrical engineering, Computer Science, or a related field with 5+ years of experience.
- Familiarity with EMT platforms (PSCAD, RTDS, Opal-RT).
- Experience with OpenFMB, Modelica, or graph-based modeling.
- Knowledge of IEEE 2030.5, IEC 61850, or similar utility protocols.
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 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.
Benefits
- medical
- dental
- vision
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
