Job Description Summary

Senior Software Engineer – Edge Intelligence & 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, 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.

 

Job Description

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

#LI-SG1

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on July 08, 2026.

 

 

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.