Software Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

🎖️ Defense

💼 Consulting

Manufacturing • Defense • Consulting

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 Description

• Design, build, and ship production-grade solutions, including LLM-powered applications, machine learning models, and APIs • Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems • Own features end-to-end through design, implementation, testing, deployment, and production support • Build and present product architectures and write high-quality technical code • Participate in design and code reviews • Demo applications to stakeholders and senior leaders • Apply the Innovator Method and lead design thinking workshops • Apply cloud platforms, databases, data engineering, web technologies, and numerical methods • Stay current with advances in AI, LLMs, and agentic architectures • Collaborate with teammates and build cross-functional relationships across the company

🎯 Requirements

• Bachelor's degree in Computer Science or another STEM discipline • 0–2 years of professional experience in software engineering, data, or AI; internship and co-op experience counts • Proficiency in programming and debugging with Python, C++, Go, or Rust • Experience working with databases and SQL • Hands-on experience in Machine Learning, Large Language Models (LLMs), or Computer Vision • Experience building solutions on a public cloud platform such as AWS or Azure • Strong academic performance • Experience designing AI solutions and architecting distributed data systems • Familiarity with LLM application technologies and patterns, including RAG, agentic workflows, prompt engineering, vector databases, embeddings, and LLM evaluation • Experience building and serving REST APIs, such as FastAPI or Flask • Familiarity with MLOps practices, including experiment tracking, model registries, automated training pipelines, and model monitoring • Ability to facilitate design thinking workshops • Prior internship, co-op, or project experience in software, data, or AI; GE Aerospace internship experience is a plus • Familiarity with Git, CI/CD, containers, and agile development • AWS and/or Azure certification preferred but not required

🏖️ Benefits

• Collaborative and diverse team • Culture focused on respect for people • Grants and philanthropic programming • Opportunity to deepen expertise in cloud platforms, data engineering, and AI technologies • Opportunity to work on strategic aerospace and defense projects • Relocation assistance not provided