Full-Stack Software Engineer & Scientist (Virtual Sensing)

Posted 6 Days Ago
Hiring Remotely in West Melbourne, FL
In-Office or Remote
89K-148K Annually
Senior level
Energy • Manufacturing • Solar • Renewable Energy
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy.
The Role
The Full-Stack Software Engineer & Scientist will develop edge-native software, virtual sensing algorithms, and control systems for decentralized grid operations, collaborating on real-time applications and integrating AI/ML capabilities.
Summary Generated by Built In
Job Description SummaryFull-Stack Software Engineer & Science (Virtual Sensing) - Decentralized grid operation Operations
We’re building the foundation for next-generation decentralized grid operations—distributing intelligence to the resilient edge to enable autonomous, self-healing, and adaptive grid management. As a Full-Stack Software Engineer & Scientist (Virtual Sensing), you’ll 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. You’ll 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 algorithms to 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 customer’s 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

  • Master’s 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 what’s 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.

#LI-SG1

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal 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

#LI-Remote - This is a remote positionApplication Deadline: January 10, 2026

For candidates applying to a U.S. based position, the pay range for this position is between $88,600.00 and $147,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on December 10, 2025.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Top Skills

Angular
CSS
Go
Grafana
Grpc
HTML
Influxdb
Kafka
Kubernetes
Matlab
Modelica
Mqtt
Nats
Openfmb
Prometheus
Pulsar
Python
React
Rust
Timescaledb
Typescript
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The Company
HQ: , Cambridge, MA
75,000 Employees
Year Founded: 2024

What We Do

GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it.

If we want our energy future to be different…we must be different.

Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.

GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.

Together, we have The Energy to Change the World.

Why Work With Us

Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.

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