Job Description SummaryAbout This Role
The power grid is changing - and the software behind it needs to change faster. As a Staff Software Engineer on GE Vernova's Applied Grid Innovation team, you'll build the backend platforms and artificial intelligence (AI) agent frameworks that make next-generation grid management possible. Your work will directly shape how grid operators make decisions, automate complex workflows, and maintain reliable energy delivery at scale.
This is a senior individual contributor role for an engineer who thrives on system architecture challenges and wants their code running in production environments where reliability isn't optional.
Job DescriptionWhat You'll Do- Design and build distributed backend systems using Python, Java, C++, or Go - creating scalable microservices, APIs, and event-driven architectures that integrate with operational grid systems including Supervisory Control and Data Acquisition (SCADA), Phasor Measurement Unit (PMU) data streams, and time-series databases.
- Architect AI agent frameworks that orchestrate machine learning (ML) models, rule engines, simulation engines, and enterprise grid services - enabling intelligent automation and decision support in control room environments.
- Develop AI/ML production infrastructure, including model lifecycle management, inference services, agent coordination layers, and real-time feedback loops for Advanced Energy Management Systems (AEMS), Advanced Distribution Management Systems (ADMS), and Wide Area Monitoring Systems (WAMS).
- Lead code quality and engineering excellence, including automated testing, Continuous Integration/Continuous Deployment (CI/CD) pipeline development, performance tuning, and system observability.
- Collaborate across disciplines - working alongside data scientists, power systems engineers, and DevOps teams to bring AI-driven solutions from prototype to production in mission-critical environments.
- Contribute to architecture decisions with a focus on scalability, fault tolerance, cybersecurity, and suitability for on-premises control center deployments.
Who We're Looking ForYou're an experienced backend engineer who combines deep systems architecture expertise with hands-on experience delivering AI/ML infrastructure in production - and you're ready to apply that expertise to one of the world's most critical infrastructure domains.
Required- 5+ years of professional experience in backend or distributed systems development
- Proficiency in Python and at least one additional backend language (Java, C++, or Go)
- Proven experience designing microservices, REST/gRPC APIs, and event-driven architectures
- Hands-on experience building AI/ML production systems - including model serving, inference pipelines, or agent-based orchestration frameworks
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Strong understanding of software architecture, concurrency, system performance, and security principles
Preferred- Experience developing software for on-premises, mission-critical, or operational technology (OT) control environments
- Working knowledge of Energy Management Systems (EMS), Distribution Management Systems (DMS), WAMS, SCADA, or power system operations
- Familiarity with time-series data systems and high-throughput data processing pipelines
EducationA formal education and subsequent Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field is nice to have, but we are most interested in your total experience and professional achievements.
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $126,500.00 and $210,900.00. 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 July 29, 2026.
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.
