Job Description Summary

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.

Job Description

Edge Engineering & Data Pipelines

• 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).

Virtual Sensing & Control

• 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.

Simulation & Integration

• 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.

Technical Qualifications

Required Skills

• 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.

Preferred Qualifications

• 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.

Why Join Us

• 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

Additional Information

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on June 05, 2026.

 

 

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.