Full-Time
Senior Staff Software Engineer
AI-Augmented Full Stack
Posted on 11/30/2025
GE Vernova
1,001-5,000 employees
Portfolio of energy businesses delivering electricity
Compensation Overview
$161k - $242k/yr
Schenectady, NY, USA
In Person
US Citizenship, US Top Secret Clearance Required
 Software Engineering (1) |
|---|
- Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines
- 8+ years of non-internship professional software development experience
- 7+ years of programming using JavaScript/TypeScript and at least one backend language (Python preferred, Node.js, Java, or Go)
- 4+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
- Proven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scale
- Advanced experience with prompt engineering, model optimization, and understanding of AI system limitations
- Familiarity with agentic workflows and autonomous AI system design patterns
- Demonstrated experience leading technical teams and providing guidance to external contractors or vendors
- Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)
- Experience with technical oversight, code review processes, and quality assurance methodologies
- Must be willing to work out of an office located in Niskayuna, NY.
- Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor’s level for employment visas, now or in the future, for this job opening.
- Must be 18 years or older.
- You must submit your application for employment on the careers page at www.gecareers.com to be considered.
- Lead the design and architecture of enterprise-scale full stack applications using modern frameworks and AI-assisted development workflows
- Provide technical oversight and mentorship for third-party contractors, ensuring deliverables meet architectural standards and integrate seamlessly with internal systems
- Drive technical decision-making across projects, establishing patterns and best practices for AI-augmented development
- Collaborate closely with external development teams, conducting code reviews, technical assessments, and integration planning
- Architect and implement sophisticated full stack applications incorporating advanced AI capabilities such as natural language processing, computer vision, and predictive analytics
- Lead the development of complex RESTful APIs and microservices with enterprise-grade AI integrations
- Design and implement advanced RAG systems and multi-modal AI architectures
- Architect and implement agentic workflows that enable autonomous AI systems to perform complex, multi-step tasks with minimal human intervention
- Provide mentorship to junior engineers and guide technical growth across the organization
- Expert in Agile Development
- Establish and enforce comprehensive testing strategies for AI-integrated features, including advanced prompt regression testing and model performance validation
- Drive adoption of AI development best practices while maintaining high standards for code quality and system reliability
- Evaluate and integrate emerging AI technologies and tools to maintain competitive advantage
- Lead technical due diligence and integration planning for third-party AI services and contractor deliverables
- Contribute to technical strategy and roadmap planning for AI-native product development
- Establish monitoring, observability, and cost management frameworks for AI systems at scale
- 13+ years of full software development life cycle experience, including architecture design, technical leadership, and system optimization
- Advanced experience with vector databases (Pinecone, Weaviate, or pgvector) and embedding model optimization
- Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex)
- Deep understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
- Experience with multi-modal AI integration and advanced model fine-tuning
- Track record of building and scaling AI-powered features for 100k+ users
- Experience with AI observability tools, cost optimization, and performance monitoring at enterprise scale
- Master's degree in computer science, AI/ML, or equivalent advanced technical education
- Experience with agent architectures, autonomous AI systems, and advanced agentic workflow implementations
GE Vernova is the umbrella for GE’s energy businesses, including Power, Renewable Energy, and Digital, along with Energy Consulting, Energy Financial Services, Grid Solutions, Nuclear Energy, and LM Wind Power. It contributes to about one-third of the world’s electricity and focuses on making energy more reliable, affordable, and sustainable. The company combines hardware, software, services, and financing to deliver end-to-end energy solutions—from gas turbines, wind turbines, and nuclear systems to digital tools and grid infrastructure, supported by consulting and financing. What sets GE Vernova apart is its one-stop portfolio that covers the full energy value chain at a global scale, integrating equipment, software, services, and finance to help customers improve efficiency and decarbonize. Its goal is to speed the transition to reliable, affordable, and sustainable energy for customers around the world.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Cambridge, Massachusetts
Founded
2022
Simplify's Take
What believers are saying
- Data centre orders drive 20% of 100 GW gas pipeline with pricing 10-20 bps higher.
- Global electricity supercycle from AI, EVs, and reshoring targets 50% revenue growth by 2028.
- European expansion via Italian manufacturing and 100-MW wind contracts reduces US market dependence.
What critics are saying
- Prolec integration failures erode $5B transformer backlog margins within 12-18 months.
- BWRX-300 NRC regulatory delays push US deployments beyond 2030, stranding R&D investments.
- Chinese competitors undercut onshore wind prices 25%, capturing 20% European and Asian share.
What makes GE Vernova unique
- Integrated portfolio spans Power, Wind, and Electrification with $163B backlog and 2x book-to-bill ratio.
- Prolec GE acquisition adds $5B transformer backlog, accelerating $200B target to 2027.
- BWRX-300 small modular reactor partnership with Hitachi under $40B US-Japan nuclear plan.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Parental Leave
Mental Health Support
Relocation Assistance
Performance Bonus
Company News
GE Vernova has secured an additional $6 million in state funding for its $96 million Advanced Research Center on Balltown Road in Niskayuna, New York. The grant, awarded through the FAST NY programme, will fund water supply, road and stormwater management upgrades at the campus, offsetting roughly half of the $12 million in required infrastructure improvements. The company previously received $9.6 million in state tax credits linked to plans for creating 75 new jobs at the research centre, along with low-cost hydropower allocation. The site, separate from GE Vernova's existing River Road labs, will house energy technology research including a direct air capture carbon system currently under testing. GE Vernova earned nearly $5 billion in 2025 on $38 billion in revenue, with a market value of $242 billion.
ThinkLabs has raised $28 million USD ($39 million CAD) in a Series A round led by Energy Impact Partners to help power grids manage surging demand from AI data centres. Nvidia's venture fund NVentures and Edison International participated, alongside returning investors including GE Vernova. The Canadian-led, New York-based startup provides physics-informed AI software that creates digital twins of power grids, simulating scenarios to help operators maintain reliability and reduce outages. The platform reduces what would typically be a six-month, quarter-million-dollar study to under a day's analysis. Founded by former Toronto Hydro smart-grid department head Josh Wong, ThinkLabs spun out of GE Vernova in early 2024 with $6.8 million CAD in seed funding. The company will use the new capital to mature its product and expand features whilst focusing on the North American market.
President Donald Trump and Prime Minister Sanae Takaichi have unveiled a US-Japan energy investment plan potentially worth $40 billion, centring on small modular nuclear reactors. GE Vernova and Hitachi will develop BWRX-300 reactors in Tennessee and Alabama, whilst Japan will invest up to $33 billion in natural gas plants in Pennsylvania and Texas. The initiative forms part of a broader $550 billion bilateral investment fund agreed under a recent trade pact. It aims to address rising electricity demand from data centres and artificial intelligence infrastructure. However, most SMR designs await regulatory approval and none have been deployed on US grids. The agreement also covers critical minerals and industrial supply chains, with Japanese firms contributing components and participating in rare-earth projects across Indiana, Arizona and North Carolina.
GE Vernova shares have risen 14.8% over the past three months, outperforming its Zacks Alternate Energy – Other industry's 4.1% growth. The company is benefiting from surging electricity demand driven by AI data centre expansion, creating strong opportunities for its turbines and grid equipment. GE Vernova is improving profitability in its wind segment through cost controls and portfolio optimisation, whilst its gas power and power services businesses continue strong performance. In March 2026, the company secured a contract for a 100-megawatt wind farm in Italy, supplying 17 turbines plus maintenance support. The company is expanding its Italian manufacturing facility to boost production of transformer components and advancing its BWRX-300 small modular reactor project in Poland, strengthening its position in the nuclear power market.
BlackRock is advising investors to focus on AI energy stocks rather than big tech companies in 2026, as AI data centres drive a surge in power demand. Deloitte anticipates a 30-fold increase in US AI data centre power consumption between 2024 and 2035. Three promising investments include Bloom Energy, which provides hydrogen fuel cell solutions for onsite electricity generation. The company reported $778 million in revenue last quarter, up 36% year over year, with analysts expecting accelerated growth. Constellation Energy, America's leading nuclear power provider, is restarting a Three Mile Island reactor to supply Microsoft's AI data centre. The company generates over two-thirds of its electricity through nuclear power. GE Vernova, General Electric's power production spinoff, reported orders up 34% to $59.3 billion, with a $150 billion backlog.