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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Edge Intelligence & Decentralized Grid Operations - **Company:** GE Vernova - **Location:** Melbourne, FL, United States - **Experience:** Expert - **Salary:** $98,400.0 - **Contract:** Permanent contract - **Skills:** Grid System, HTML, Artificial Intelligence, Systems Engineering, Cascading Style Sheets (CSS), Concurrency Controls, Data Synchronization, Fault Tolerance, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), MATLAB, Machine Learning, Modbus, Message Queuing Telemetry Transport (MQTT), Prometheus, Real Time Simulation, Cyber-physical Systems, TypeScript, Digital Twin, Data Processing, ReactJS, Grafana, Backend, AngularJS, Kubernetes, Information Technology, Low Latency, Modeling and Simulation, Apache Kafka, Data Pipelines - **Published:** July 9, 2026 - **Apply:** https://dejobs.org/x/x/74012D9123414DBDA5628ADD00E28280/job/ ## About the Role * Strong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular(UI). * Deep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana). * Work Experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML model algorithms. * Hands-on work with AI/ML models in production environments. * Work experience federated architectures, and resilient edge software applied to with Transmission and distribution applications. Preferred Background * Master's degree electrical engineering or computer science with a minimum of 5 years' experience in the power industry * Minimum 3+ years of hands-on experience in building real-time simulation platforms * Deep knowledge in SW engineering with experience in advanced Automation, federated data processing. * Experience of Power System modeling and simulation tools such as EMT platforms (e.g. PSCAD,RTDS, Opal-RT). * Track record of building, shipping, and scaling complex software systems. * Exposure to grid operations, DER management, and industrial IoT environments. * Experience with real-time or cyber-physical systems where latency and reliability are key. * Familiarity with grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus. * Experience with digital twin modeling frameworks (Modelica, OpenFMB, graph-based) · Behavioral Skills * Innovation in practice delivers measurable, customer-validated outcomes. * Entrepreneurial mindset: bias for action, curiosity for what's possible, and cross-functional collaboration. * Cross-functional collaboration across software, controls, and hardware. * Comfortable working in agile, mission-oriented teams. * Communication: Explains complex concepts clearly; welcomes feedback and alternative viewpoints ## Description This is a hands-on, high-impact role in a startup-style, fast moving environment where ideas turn into realization fast. You'll will report directly to the Electrification Chief Architect in CTO organization and working closely with product leaders, R&D teams, and customers to incubate, test, validate, and scale GEV technologies for the Grid of the Future., * 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 * Work closely with data scientists, control engineers, infrastructure specialists, and customers * Collaborate with systems engineers to align software with physical grid systems * Partner with product teams to rapidly turn ideas into validated, scalable solutions ## Related Videos - [Flex your Energy: Building a Cloud-Native Platform for Renewable Energy Communities](https://www.wearedevelopers.com/videos/1990-flex-your-energy-building-a-cloud-native-platform-for-renewable-energy-communities) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [What makes Cybersecurity different for critical infrastructure?](https://www.wearedevelopers.com/videos/571-what-makes-cybersecurity-different-for-critical-infrastructure) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. 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