Job Description Summary

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 Lead Software Architect, 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 federated data and learning frameworks that connect distributed edge systems securely and reliably.
• Engineer fault-tolerant data synchronization and concurrency control across distributed edge environments.
• Build and deploy edge-native software components for decentralized operation, sensing, and control.
• Integrate field data sources (SCADA, PMUs, IEDs, Sensors, and  Edge Controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus).
• 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 and emerging solutions into existing platforms to create differentiating ecosystem solutions and new innovative business model.
• Partner with customers, product and research teams to align innovation with real-world grid challenges and GEV Electrification zero-Carbon Grid Blueprint.
• Manage and mentor Software engineers, guide technical guidance and help shape entrepreneurship and technical excellence.
• Articulate complex technical solutions, and their associated business value  to leadership and non-technical stakeholders.

Critical Technical skills and experience Requirements

• Deep experience with distributed systems, federated architectures, and resilient edge software.
• 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).
• Hands-on work with AI/ML models in production environments.
• Work experience with federated learning or lightweight model inference frameworks.
• Work Experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML algorithms development.

Qualifications

• Master’s degree or in electrical engineering or computer science  with a minimum of 10  years’ experience in the power or industrial system domain.
• Minimum 5+ years of hands-on  experience in building real-time simulation platforms
• Deep knowledge in SW engineering with experience in advanced Automation, federated data processing and concurrency control, and Digital twin.
• Fluency in resilience patterns: event sourcing, CQRS, consensus, circuit breakers, chaos testing.
• 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.
• Knowledge of grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus.
• Work experience in power system modeling and simulation tools such as EMT platforms (e.g. PSCAD, RTDS, Opal-RT).

Behavioral Skills

• Innovation in practice: Delivers creative, customer-validated solutions with measurable outcomes.
• Entrepreneurial mindset: bias for action, curiosity for what’s possible, work collaboratively, and drive to make it real.
• Analytical problem-solving: Evaluates trade-offs and recommends pragmatic improvements.
• One-Team: Cross-functional collaboration across software, controls, and hardware.
• Communication: Explains complex concepts clearly; welcomes feedback and alternative viewpoints.

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For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. 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 August 25, 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.