Full-Stack Software Engineer & Scientist (Virtual Sensing)
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Job Location:
West Melbourne, FL - USA
Monthly Salary:
$ 88600 - 147600
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
Full-Stack Software Engineer & Science (Virtual Sensing) - Decentralized grid operation OperationsWere building the foundation for next-generation decentralized grid operationsdistributing intelligence to the resilient edge to enable autonomous self-healing and adaptive grid management. As a Full-Stack Software Engineer & Scientist (Virtual Sensing) youll develop edge-native software advanced virtual sensing algorithms and intelligent control systems that bridge physics AI and distributed computing. This is a hands-on critical role in a startup-style fast-moving environment where ideas turn into reality quickly. You will report to the Electrification Chief Architect within the CTO organization. Youll work across simulation real-time edge deployments and field validation to transform how the grid senses and responds.
Job Description
Key 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.
- Develop and deploy robust virtual sensing algorithmsto infer critical power grid parameters (e.g. voltage stability phase angles line temperature asset health) from limited sensor data available at the grid edge.
- Deploy adaptive edge intelligence and control logic at the edge enabling real-time grid intelligence with minimal latency and network
- Collaborate with power systems engineers to validate virtual sensor accuracy against physical models and real-world data from substations field devices and peer sensors.
- Integrate field data sources (SCADA PMUs DER controllers) and IoT protocols/networks (LoRa MQTT DNP3 Modbus).
- Support experimentation and prototyping in simulation environments and customers test sites.
- 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.
Critical Technical skills and experience Requirements
- Working experience with Transmission and distribution and 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).
- Solid understanding of control theory and signal processing techniques for application in virtual sensing systems such as Kalman filters or other state estimation methods.
- Experience in integrating virtual sensor outputs into existing control loops for real-time monitoring process optimization and predictive maintenance applications.
- Ability to evaluate and test the performance and reliability of developed virtual sensors.
- Skilled in interpreting complex sensor data outputs and translating insights into actionable virtual sensor models.
- 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 in federated architectures and resilient edge software applied to Transmission & Distribution application.
Preferred Background
- Masters degree electrical engineering or computer science with a minimum of 5 years experience in the power or industrial system domain.
- Minimum 3 years of hands-on experience in building real-time or simulation-based system.
- Proven experience in software engineering with Automation distributed/federated data processing.
- Track record of building deploying and scaling complex software systems.
- Familiarity with grid operations DER management and industrial IoT/IIoT.
- Experience with real-time or cyber-physical systems requiring low latency and high reliability.
- Knowledge of grid standards or protocols (e.g. IEEE 2030.5 IEC 61850 OpenFMB) is a strong plus.
- Familiarity with power system modeling and simulation tools such as EMT platforms (e.g. PSCAD RTDS Opal-RT) is a plus.
Behavioral Skills
- Innovation in practice delivers measurable customer-validated outcomes.
- Entrepreneurial mindset: bias for action curiosity for whats 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.
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Additional Information
GE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual 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: No
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
