Full-stack Engineer

• Build and deploy edge-native software components for decentralized operation, sensing, and control.
• Develop federated data pipelines that allow distributed nodes to collaborate securely without central coordination.
• Develop and deploy robust virtual sensing algorithms to infer critical power grid parameters (e.g., voltage stability, phase angles, line temperature, asset health) from limited sensor data available at the grid edge.
• Deploy adaptive edge intelligence and control logic at the edge, enabling real-time grid intelligence with minimal latency and network.
• Collaborate with power systems engineers to validate virtual sensor accuracy against physical models and real-world data from substations, field devices, and peer sensors.
• Integrate field data sources (SCADA, PMUs, DER controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus).
• Support experimentation and prototyping in simulation environments and customer’s test sites.
• Collaborate with systems and data engineers to close the loop between simulation and live operations.
• Collaborate with cross-functional teams to integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms.
• Work closely with data scientists, control engineers, infrastructure specialists and Customers, to integrate software with physical grid systems.

Full-Stack Software Engineer, Scientist – Virtual Sensing

Full-Stack Software Engineer

Senior Full-Stack Software Engineer

Full-Stack Software Engineer – Virtual Sensing

Full-Stack Software Engineer