Salary

Competitive

Location

🌍 Anywhere

Job Type

Full-time

Work Mode

100% Remote

Source

Himalayas

Job Description Summary

Job Description Summary
Full-Stack Software Engineer & Science (Virtual Sensing) – Decentralized Grid Operations

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. You’ll work across simulation, real-time edge deployments, and field validation to transform how the grid senses and responds.

Job Description

Job Description

Key Responsibilities

• 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,