{"schemaVersion":"jobsearcher.job.v1","id":"5786a509c71dd4e545207232","url":"https://jobsearcher.com/jobs/5786a509c71dd4e545207232","canonicalUrl":"https://jobsearcher.com/jobs/5786a509c71dd4e545207232","title":"Full-Stack Software Engineer & Scientist (Virtual Sensing)","description":"Full-Stack Software Engineer & Science (Virtual Sensing) - Decentralized grid operation Operations\n\nWe’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.\nJob Description\nKey Responsibilities\nBuild and deploy edge-native software components for decentralized operation, sensing, and control.\nDevelop federated data pipelines that allow distributed nodes to collaborate securely without central coordination.\nDevelop 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.\nDeploy adaptive edge intelligence and control logic at the edge, enabling real-time grid intelligence with minimal latency and network\nCollaborate with power systems engineers to validate virtual sensor accuracy against physical models and real-world data from substations, field devices, and peer sensors.\nIntegrate field data sources (SCADA, PMUs, DER controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus).\nSupport experimentation and prototyping in simulation environments and customer’s test sites.\nCollaborate with systems and data engineers to close the loop between simulation and live operations.\nCollaborate with cross-functional teams to integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms.\nWork closely with data scientists, control engineers, infrastructure specialists and Customers, to integrate software with physical grid systems.\n\nCritical Technical skills and experience Requirements\n\nWorking experience with Transmission and distribution , and federated architectures, and resilient edge software.\nStrong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular(UI).\nDeep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana).\nSolid understanding of control theory and signal processing techniques for application in virtual sensing systems, such as Kalman filters or other state estimation methods.\nExperience in integrating virtual sensor outputs into existing control loops for real-time monitoring, process optimization, and predictive maintenance applications.\nAbility to evaluate and test the performance and reliability of developed virtual sensors.\nSkilled in interpreting complex sensor data outputs and translating insights into actionable virtual sensor models.\nWork experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML model algorithms.\nHands-on work with AI/ML models in production environments.\nWork experience in federated architectures, and resilient edge software applied to Transmission & Distribution application.\n\nPreferred Background\nMaster’s degree electrical engineering or computer science with a minimum of 5 years’ experience in the power or industrial system domain.\nMinimum 3+ years of hands-on experience in building real-time or simulation-based system.\nProven experience in software engineering with, Automation, distributed/federated data processing.\nTrack record of building, deploying, and scaling complex software systems.\nFamiliarity with grid operations, DER management, and industrial IoT/IIoT.\nExperience with real-time or cyber-physical systems requiring low latency and high reliability.\nKnowledge of grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus.\nFamiliarity with power system modeling and simulation tools such as EMT platforms (e.g. PSCAD, RTDS, Opal-RT) is a plus.\n\nBehavioral Skills\nInnovation in practice delivers measurable, customer-validated outcomes.\nEntrepreneurial mindset: bias for action, curiosity for what’s possible, and cross-functional collaboration.\nCross-functional collaboration across software, controls, and hardware.\nComfortable working in agile, mission-oriented teams.\nCommunication: Explains complex concepts clearly; welcomes feedback and alternative viewpoints.\n#LI-SG1\nAdditional Information\nGE 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.\nGE 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).\nRelocation Assistance Provided: No\n#LI-Remote - This is a remote position\nApplication Deadline: January 10, 2026\n\nFor 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.\n\nBonus eligibility: discretionary annual bonus.\n\nThis posting is expected to remain open for at least seven days after it was posted on December 10, 2025.\n\nAvailable 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.\n\nGE 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.","company":"Gevernova","rawCompany":"gevernova","city":"Melbourne","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:31:26.252Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack Software Engineer & Scientist (Virtual Sensing)","description":"Full-Stack Software Engineer & Science (Virtual Sensing) - Decentralized grid operation Operations\n\nWe’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.\nJob Description\nKey Responsibilities\nBuild and deploy edge-native software components for decentralized operation, sensing, and control.\nDevelop federated data pipelines that allow distributed nodes to collaborate securely without central coordination.\nDevelop 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.\nDeploy adaptive edge intelligence and control logic at the edge, enabling real-time grid intelligence with minimal latency and network\nCollaborate with power systems engineers to validate virtual sensor accuracy against physical models and real-world data from substations, field devices, and peer sensors.\nIntegrate field data sources (SCADA, PMUs, DER controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus).\nSupport experimentation and prototyping in simulation environments and customer’s test sites.\nCollaborate with systems and data engineers to close the loop between simulation and live operations.\nCollaborate with cross-functional teams to integrate AI/ML capabilities, federated control frameworks, and digital twins into next-generation grid platforms.\nWork closely with data scientists, control engineers, infrastructure specialists and Customers, to integrate software with physical grid systems.\n\nCritical Technical skills and experience Requirements\n\nWorking experience with Transmission and distribution , and federated architectures, and resilient edge software.\nStrong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular(UI).\nDeep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana).\nSolid understanding of control theory and signal processing techniques for application in virtual sensing systems, such as Kalman filters or other state estimation methods.\nExperience in integrating virtual sensor outputs into existing control loops for real-time monitoring, process optimization, and predictive maintenance applications.\nAbility to evaluate and test the performance and reliability of developed virtual sensors.\nSkilled in interpreting complex sensor data outputs and translating insights into actionable virtual sensor models.\nWork experience with Digital Twin / Simulation modeling: OpenFMB, Modelica, graph-based modeling) and AI/ML model algorithms.\nHands-on work with AI/ML models in production environments.\nWork experience in federated architectures, and resilient edge software applied to Transmission & Distribution application.\n\nPreferred Background\nMaster’s degree electrical engineering or computer science with a minimum of 5 years’ experience in the power or industrial system domain.\nMinimum 3+ years of hands-on experience in building real-time or simulation-based system.\nProven experience in software engineering with, Automation, distributed/federated data processing.\nTrack record of building, deploying, and scaling complex software systems.\nFamiliarity with grid operations, DER management, and industrial IoT/IIoT.\nExperience with real-time or cyber-physical systems requiring low latency and high reliability.\nKnowledge of grid standards or protocols (e.g., IEEE 2030.5, IEC 61850, OpenFMB) is a strong plus.\nFamiliarity with power system modeling and simulation tools such as EMT platforms (e.g. PSCAD, RTDS, Opal-RT) is a plus.\n\nBehavioral Skills\nInnovation in practice delivers measurable, customer-validated outcomes.\nEntrepreneurial mindset: bias for action, curiosity for what’s possible, and cross-functional collaboration.\nCross-functional collaboration across software, controls, and hardware.\nComfortable working in agile, mission-oriented teams.\nCommunication: Explains complex concepts clearly; welcomes feedback and alternative viewpoints.\n#LI-SG1\nAdditional Information\nGE 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.\nGE 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).\nRelocation Assistance Provided: No\n#LI-Remote - This is a remote position\nApplication Deadline: January 10, 2026\n\nFor 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.\n\nBonus eligibility: discretionary annual bonus.\n\nThis posting is expected to remain open for at least seven days after it was posted on December 10, 2025.\n\nAvailable 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.\n\nGE 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.","datePosted":"2026-04-14T10:31:26.252Z","dateModified":"2026-04-14T10:31:26.252Z","hiringOrganization":{"@type":"Organization","name":"Gevernova","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5786a509c71dd4e545207232"},"url":"https://jobsearcher.com/jobs/5786a509c71dd4e545207232"}}