Technical Lead for Testing Services responsible for automation testing and developing test frameworks. Collaborating with BA, developers, and users to enhance RAG GenAI applications.
About the role
- Senior Full-Stack Software Engineer designing and delivering edge intelligence for decentralized grid operations. Focused on real-time reliability, autonomy, and security for critical energy systems.
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
- 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
Requirements
- Master’s degree in electrical engineering or computer science
- 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 experience with distributed systems and federated architectures
- 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, Pulsar, InfluxDB/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
- Track record of building, shipping, and scaling complex software systems
- Exposure to grid operations, DER management, and industrial IoT environments
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- access to Fidelity resources and financial planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
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