Senior Software Engineer – Edge Intelligence & Decentralized Grid Operations

Job 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, 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 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.

Key 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
• 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

Critical Technical skills and Experience Requirements

• 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