Senior Software Engineer & Scientist
Employment Info
JOB SUMMARY
Requirements
- Software Engineering: Proficiency in Python, Go, or Rust (backend/edge) and TypeScript/React or Angular (UI).
- Edge/Cloud Infrastructure: Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, and Pulsar.
- Data & Observability: Hands-on experience with InfluxDB/TimescaleDB and observability stacks (Prometheus, Grafana).
- Domain Expertise: Proven experience with federated architectures, resilient edge software, and Transmission & Distribution (T&D) applications.
- Scientific Aptitude: Strong understanding of signal processing, control theory, and state estimation methods.
- AI/ML: Experience developing and deploying AI/ML models in production environments.
Responsibilities
- Edge Engineering & Data Pipelines: Build and deploy edge-native software components for decentralized operation, sensing, and control.
- Edge Engineering & Data Pipelines: Develop federated data pipelines that allow distributed nodes to collaborate securely without central coordination.
- Edge Engineering & Data Pipelines: Integrate field data sources (SCADA, PMUs, DER controllers) and industrial IoT protocols (LoRa, MQTT, DNP3, Modbus).
- Virtual Sensing & Control: Develop and deploy robust virtual sensing algorithms to infer critical power grid parameters (e.g., voltage stability, phase angles, line temperature, asset health) from limited edge sensor data.
- Virtual Sensing & Control: Deploy adaptive edge intelligence and control logic to enable real-time grid insights with minimal latency.
- Virtual Sensing & Control: Apply control theory and signal processing techniques (e.g., Kalman filters, state estimation) to refine virtual sensor accuracy.
- Simulation & Integration: Collaborate with power systems engineers to validate virtual sensor performance against physical models and real-world field data.
- Simulation & Integration: Bridge the gap between simulation environments and live grid operations to “close the loop.”
- Simulation & Integration: Integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms.
Desired Qualifications
- Education: Master’s degree in electrical engineering, Computer Science, or a related field with 5+ years of experience.
- Simulation Tools: Familiarity with EMT platforms (PSCAD, RTDS, Opal-RT).
- Digital Twins: Experience with OpenFMB, Modelica, or graph-based modeling.
- Grid Standards: Knowledge of IEEE 2030.5, IEC 61850, or similar utility protocols.
Are you interested in this position?
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