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Job Description

GE Vernova offers a pathway for engineers to influence resilient energy systems through edge intelligence. This onsite role in Melbourne, FL centers on edge-native software, federated data pipelines, and digital twin components to enable autonomous, resilient grid operations. Join a cross-functional team that values practical impact, collaboration, and customer-focused outcomes.

Benefits

  • Medical, dental, vision, and prescription drug coverage
  • Health Coach from GE Vernova (24/7 nurse-based resource)
  • Employee Assistance Program (24/7 confidential assessment, counseling and referral services)
  • 401(k) retirement savings plan with company matching contributions and company retirement contributions
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off
  • Relocation assistance provided

Responsibilities

  • Design and deploy edge-native software components for decentralized sensing, control, and autonomous grid operations
  • Engineer fault-tolerant data synchronization and concurrency control across distributed edge environments
  • Build federated data pipelines enabling distributed nodes to collaborate securely without central coordination
  • Integrate field data sources including SCADA, PMUs, and DER controllers
  • Implement IoT protocols and networks such as LoRa, MQTT, DNP3, and Modbus
  • Bridge the gap between simulation environments and live grid operations
  • Integrate AI/ML capabilities and federated control frameworks into next generation grid platforms
  • Contribute to digital twin design using graph-based and physics-informed modeling
  • Support experimentation and prototyping at customer test sites and simulation environments
  • Collaborate with data scientists, control engineers, infrastructure specialists, and customers
  • Work with systems engineers to align software with physical grid systems
  • Partner with product teams to rapidly turn ideas into validated, scalable solutions

Requirements

  • Strong scripting and backend skills in MATLAB, Go, Rust, Python (edge/backend) and UI technologies HTML, CSS, TypeScript/React or Angular
  • Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, and data/observability tools (Pulsar, InfluxDB, TimescaleDB, Prometheus, Grafana)
  • Hands-on experience with Digital Twin / Simulation modeling using OpenFMB, Modelica, graph-based modeling and AI/ML model algorithms
  • Proven work deploying AI/ML models in production environments
  • Experience with federated architectures and resilient edge software applied to transmission and distribution
  • Master's degree in electrical engineering or computer science and a minimum of 3 years of relevant experience

Technologies

  • MATLAB
  • Go
  • Rust
  • Python
  • HTML
  • CSS
  • TypeScript
  • React
  • Angular
  • Kubernetes
  • K3s
  • Kafka
  • NATS
  • MQTT
  • gRPC
  • Pulsar
  • InfluxDB
  • TimescaleDB
  • Prometheus
  • Grafana
  • OpenFMB
  • Modelica
  • AI/ML

Behavioral Skills

  • Innovation in practice that delivers measurable, customer-validated outcomes
  • Entrepreneurial mindset with bias for action, curiosity, and cross-functional collaboration
  • Strong collaboration across software, controls, and hardware disciplines
  • Comfort working in agile, mission-oriented teams
  • Clear communication and openness to feedback and alternative viewpoints

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