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

GE Vernova · Melbourne, FL · 1 wk ago
On-siteEngineering$98k–$164k/yrFull-time

Job Description

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 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.

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

  • 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.

Additional Information

  • GE Vernova Offers:
    • Great work environment, professional development, challenging careers, and competitive compensation.
    • Retirement benefits including the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions.
    • Other benefits such as tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

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.

Additional Details

  • Pay Range: Between $98,400.00 and $164,000.00.
  • Geographic Differential: 110%, 120%, or 130% of salary in certain areas.
  • Benefits: 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.
  • Relocation Assistance: Not provided.

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