Senior Software Engineer – Virtual Sensing, Decentralized Grid Operations

Switzerland Global Enterprise

Senior Software Engineer & Scientist developing edge-native software and algorithms for decentralized grid operations. Involves robust data handling, predictive algorithms, and collaboration with power systems engineers.

Posted 7/25/2026full-timeWest Melbourne • Florida • 🇺🇸 United StatesSenior💰 $98,400 - $164,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying edge-native software components, integrating AI/ML capabilities, and developing federated data pipelines for decentralized operations. Proficient in collaborating with power systems engineers and validating virtual sensor performance against real-world data.

Highest-signal resume keywords

Python ProgrammingKubernetes/K3sAI/ML Model DeploymentFederated ArchitecturesSignal Processing

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingRust ProgrammingTypeScriptReactAngularKafkaNATSMQTTGRPCPulsar

Tools & Technologies

InfluxDBTimescaleDBPrometheusGrafana

Certifications & Qualifications

Master’s Degree in Electrical EngineeringMaster’s Degree in Computer Science

Industry Keywords

Decentralized OperationEdge IntelligenceVirtual Sensing AlgorithmsTransmission & DistributionControl Theory

Tech Stack

Tools & technologies

AngularGoGrafanaGRPCIoTKafkaKubernetesPrometheusPulsarPythonReactRustTypeScript

About the role

Key responsibilities & impact

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 industrial IoT protocols (LoRa, MQTT, DNP3, Modbus)
Develop and deploy robust virtual sensing algorithms to infer critical power grid parameters from limited edge sensor data
Deploy adaptive edge intelligence and control logic to enable real-time grid insights with minimal latency
Collaborate with power systems engineers to validate virtual sensor performance against physical models and real-world field data
Bridge the gap between simulation environments and live grid operations to 'close the loop'
Integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms

Requirements

What you’ll need

Master’s degree in electrical engineering, Computer Science, or a related field with 5+ years of experience
Proficiency in Python, Go, or Rust (backend/edge) and TypeScript/React or Angular (UI)
Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, and Pulsar
Hands-on experience with InfluxDB/TimescaleDB and observability stacks (Prometheus, Grafana)
Proven experience with federated architectures, resilient edge software, and Transmission & Distribution (T&D) applications
Strong understanding of signal processing, control theory, and state estimation methods
Experience developing and deploying AI/ML models in production environments

Benefits

Comp & perks

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
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