Senior Software Engineer & Scientist – Virtual Sensing and Decentralized Grid Operations

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.

• 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 Type Script/React or Angular (UI).
• Edge/Cloud Infrastructure:
  Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, and Pulsar.
• Data & Observability:
  Hands‑on experience with Influx
  
  DB/Timescale
  
  DB 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:
  
  Master’s 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.

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).

Relocation Assistance Provided:
No

For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered…