GE Aerospace
10,000+ employees
🚀 Aerospace
🏭 Manufacturing
🎖️ Defense
💰 $2G Post-IPO Debt - GE Aerospace on 2025-07
Aerospace • Manufacturing • Defense
GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.
Software Engineer
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GE Aerospace
10,000+ employees
🚀 Aerospace
🏭 Manufacturing
🎖️ Defense
💰 $2G Post-IPO Debt - GE Aerospace on 2025-07
Aerospace • Manufacturing • Defense
GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.
📋 Description
• Design, build, and ship production-grade solutions, including LLM-powered applications, machine learning models, and APIs • Consult on architecture and deliver solutions for strategic business projects, including data science and machine learning systems • Own features end-to-end from design and implementation through testing, deployment, and production support • Build and present product architectures and write high-quality technical code • Participate in design and code reviews and 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, share knowledge, 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 • Familiarity with Git, CI/CD, containers, and agile development • AWS and/or Azure certification preferred but not required
🏖️ Benefits
• Relocation Assistance Provided: No
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