Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- Full-Stack Software Engineer at GE Vernova designing edge intelligence for decentralized grid operations. Collaborating with teams to deliver real-time reliability and autonomy in energy systems.
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
- 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
- Contribute to the design of federated data and learning frameworks that connect distributed edge systems securely and reliably
- Contribute to engineer fault-tolerant data synchronization and concurrency control across distributed edge environments
- 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, infrastructure specialists and Customers, to integrate software with physical grid systems
Requirements
- 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
- 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 Transmission and distribution applications
- Deep knowledge in SW engineering with experience in advanced Automation, federated data processing, and familiarity Digital twin
- Working knowledge and working 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.
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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