Senior Software Engineer – Edge Intelligence & Decentralized Grid Operations

Senior Software Engineer – Edge Intelligence & Decentralized Grid OperationsWe'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, you will design and deliver edge intelligence, federated data pipelines, and digital twin components that drive real-time reliability, autonomy, and security for critical energy systems. This is a hands-on, high-impact role in a startup-style, fast moving environment where ideas turn into realization fast.

You'll 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.Key ResponsibilitiesDesign and deploy edge-native software components for decentralized sensing, control, and autonomous grid operationsEngineer fault-tolerant data synchronization and concurrency control across distributed edge environmentsBuild federated data pipelines enabling distributed nodes to collaborate securely without central coordinationIntegrate field data sources including SCADA, PMUs, and DER controllersImplement IoT protocols and networks such as LoRa, MQTT, DNP3, and ModbusBridge the gap between simulation environments and live grid operationsIntegrate AI/ML capabilities and federated control frameworks into next-generation grid platformsContribute to digital twin design using graph-based and physics-informed modelingSupport experimentation and prototyping at customer test sites and simulation environmentsWork closely with data scientists, control engineers, infrastructure specialists, and customersCollaborate with systems engineers to align software with physical grid systemsPartner with product teams to rapidly turn ideas into validated, scalable solutionsCritical Technical Skills and Experience RequirementsStrong 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 BackgroundMaster's degree electrical engineering or computer science with a minimum of 5 years' experience in the power industryMinimum 3+ years of hands-on experience in building real-time simulation platformsDeep 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 SkillsInnovation 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