Staff Software Engineer – AI Backend & Agent Frameworks

PS0178 GE Energy Management Services, LLC; Bellevue (WA); On-site; USD 127,000 - 211,000; Full time

Benefits offered by this job

Health benefits

Health Coach access

Employee Assistance Program

401(k) plan with matching

Tuition assistance

Paid parental leave

Paid holidays

Job summary

GE Vernova is seeking a Staff Software Engineer to help build backend platforms and AI agent frameworks for next-generation grid management in Bellevue, WA. You will design scalable microservices and orchestration that integrate with SCADA, PMU data streams, and time-series databases.

You will lead AI/ML production infrastructure, model lifecycles, inference services, and agent coordination for AEMS, ADMS, and WAMS, while driving quality, CI/CD, performance, and security in production.

Qualifications

• 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.

Responsibilities

• 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 SCADA, PMU data streams, and time-series databases.
• Architect AI agent frameworks that orchestrate 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 AEMS, ADMS, and WAMS.
• Lead code quality and engineering excellence, including automated testing, CI/CD pipeline development, performance tuning, and system observability.
• Collaborate across disciplines - 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 on-premises deployments.

Skills

Python

Java

C++

Go

Microservices

REST/gRPC APIs

AI/ML production systems

CI/CD

Concurrency

Security

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Job description

Job Description Summary

About 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.

What 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 For

You'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.

Education

A 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.

Why GE Vernova

GE Vernova employees rise to the challenge of building a world that works. In order to meet this mission, we provide varied, competitive benefits to help support our workforce.

Our benefits are designed to reward high performers and help you manage your personal and family needs. We offer a robust benefits package depending on your employment status and your national requirements.

A healthy, balanced lifestyle can mean different things to different people - we've created programs that support the way you live and work today.

GE Vernova invests to provide opportunities to grow your career by providing a path for continued on-the-job learning and development.

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: 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.

Bonus eligibility: discretionary annual bonus.

Benefits

• 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
• 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

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help 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 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.

Together, we have The Energy to Change the World.

www.gevernova.com