Lead Software Architect - Grid Edge & Decentralized Systems

GE Vernova; Melbourne (FL); On-site; USD 113,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Dental and vision coverage

401(k) with company matching

Tuition assistance

Paid holidays

Parental leave

Job summary

GE Vernova in Florida seeks a Lead Software Architect to design edge intelligence, federated data pipelines, and digital twin components enabling real-time reliability and security for critical energy systems.

You will mentor engineers, champion scalable architectures, and partner with customers to align innovations with grid challenges. This role blends hands-on development with strategic leadership in a dynamic energy tech environment.

Qualifications

• Master’s degree in electrical engineering or computer science with 10+ years in power/industrial systems.
• 5+ years building real-time simulation platforms.
• Experience with distributed and federated data processing, digital twins.
• Fluency in resilience patterns: event sourcing, CQRS, circuit breakers.
• Knowledge of grid operations and industrial IoT environments.

Responsibilities

• Design federated data and learning frameworks connecting distributed edge systems securely.
• Engineer fault-tolerant data synchronization across distributed edge environments.
• Build and deploy edge-native software for decentralized operation, sensing, and control.
• Integrate field data sources and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus).
• Collaborate to integrate AI/ML capabilities into existing platforms and ecosystems.
• Mentor software engineers and articulate technical value to leadership.

Skills

Distributed systems

Edge computing

Kubernetes

Go

Rust

Python

TypeScript/React

AI/ML in production

Education

Master’s degree in electrical engineering or computer science

10+ years in power/industrial domain

Tools

OpenFMB

Modelica

Job description

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.

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.

#LI-SG1

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.

GE Vernova is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

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.

• 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.