• 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 • 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 • Contribute to the design of federated data and learning frameworks that connect distributed edge systems securely and reliably • Contribute to engineer fault-tolerant data synchronization and concurrency control across distributed edge environments • 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

• Demonstrate accountability for cost, schedule, quality, and technical accuracy of assigned tasks • Provide technical guidance and leadership, develop talent through mentorship • Act as the point-of-contact between your engineering team and both internal and external customers • Lead I&C System design and development from conceptual through preliminary and detailed design • Collaborate with other disciplines to define and achieve functional, performance, reliability, availability, and maintainability (RAM) targets • Perform, lead, or manage design and related technical scope for hand-off to internal or external suppliers • Develop, perform, and review system and integration test plans, procedures, and reports

• 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. • 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. • Contribute to the design of federated data and learning frameworks that connect distributed edge systems securely and reliably. • Contribute to engineer fault-tolerant data synchronization and concurrency control across distributed edge environments. • 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.

• Demonstrate accountability for cost, schedule, quality, and technical accuracy of assigned tasks • Provide technical guidance and leadership, develop talent through mentorship, and act as the point-of-contact between your engineering team and both internal and external customers • Lead I&C System design and development from conceptual through preliminary and detailed design, fabrication, assembly, production test, validation test as well as site installation, start-up test, and commissioning • Collaborate with other disciplines to define and achieve functional, performance, reliability, availability, and maintainability (RAM) targets and failure mode and effects analysis (FMEA) • Perform, lead, or manage design and related technical scope for hand-off to internal or external suppliers for implementation of all applicable system and component requirements, interfaces, and functions • Collaborate with system supplier implementation teams to develop, perform, and review system and integration test plans, procedures, and reports including factory acceptance tests, site acceptance tests, construction tests, pre-operational tests, and start-up tests