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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Software Engineer & Scientist - **Company:** GE Vernova - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $98,400.0 - **Contract:** Permanent contract - **Skills:** HTML, Artificial Intelligence, Cascading Style Sheets (CSS), Distributed Systems, Python (Programming Language), MATLAB, Machine Learning, Message Queuing Telemetry Transport (MQTT), Prometheus, Cyber-physical Systems, Signal Processing, Software Engineering, TypeScript, Digital Twin, Data Processing, ReactJS, Grafana, Backend, AngularJS, Kubernetes, Information Technology, Low Latency, Modeling and Simulation, Apache Kafka - **Published:** May 19, 2026 - **Apply:** https://jobs.military.com/career/221924/full-stack-software-engineer-scientist-virtual-sensing-florida-fl-melbourne ## About the Role * Working experience with Transmission and distribution , and federated architectures, and resilient edge software.\n * Strong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular(UI).\n * Deep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana).\n * Solid understanding of control theory and signal processing techniques for application in virtual sensing systems, such as Kalman filters or other state estimation methods.\n * Experience in integrating virtual sensor outputs into existing control loops for real-time monitoring, process optimization, and predictive maintenance applications.\n * Ability to evaluate and test the performance and reliability of developed virtual sensors.\n * Skilled in interpreting complex sensor data outputs and translating insights into actionable virtual sensor models.\n * Work experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML model algorithms.\n * Hands-on work with AI/ML models in production environments.\n * Work experience in federated architectures, and resilient edge software applied to Transmission & Distribution application.\n, * Bachelor's degree electrical engineering or computer science with a minimum of 5 years' experience in the power or industrial system domain.\n * Minimum 3+ years of hands-on experience in building real-time or simulation-based system.\n * Proven experience in software engineering with, Automation, distributed/federated data processing.\n * Track record of building, deploying, and scaling complex software systems.\n * Familiarity with grid operations, DER management, and industrial IoT/IIoT.\n * Experience with real-time or cyber-physical systems requiring low latency and high reliability.\n * Knowledge of grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus.\n * Familiarity with power system modeling and simulation tools such as EMT platforms (e.g. PSCAD, RTDS, Opal-RT) is a plus.\n ## Description We're 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 Full-Stack Software Engineer & Scientist (Virtual Sensing), you'll develop edge-native software, advanced virtual sensing algorithms, and intelligent control systems that bridge physics, AI, and distributed computing. This is a hands-on, critical role in a startup-style, fast-moving environment where ideas turn into reality quickly. You will report to the Electrification Chief Architect within the CTO organization. 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