GE Aerospace
APD Digital Systems Sr. Staff Engineer - Digital Ecosystem Engineer
Evendale · Senior Staff · Full-time · Posted Oct 28, 2026
- Experience
- Minimum of 5 years of engineering experience; alternatively, a high school diploma/GED with at least 9 years of engineering experience is stated for the education requirement.
- Education
- Bachelor’s Degree in Engineering, Physics, or Mathematics from an accredited college or university, or high school diploma/GED and at least 9 years of engineering experience.
- Visa sponsorship
- Must be legally authorized to work in the United States. U.S. Government Security Clearance is required, with U.S. citizenship stated as a prerequisite. Access to export-controlled information requires U.S. Person status: U.S. lawful permanent resident, U.S. citizen, asylee, or refugee.
About the job
Architect, develop, and operate a digital engineering platform that integrates aerospace engineering data and tools, supports collaboration, and enables real-time program visibility and decisions.
What you'll do
- Build and maintain the digital ecosystem, including data management, tool integration, and performance improvements.
- Develop dashboards, APIs, and data services to provide program visibility and integrate customer systems.
- Identify and implement AI/ML opportunities in engineering workflows and data analysis.
What they ask for
- Bachelor’s Degree in Engineering, Physics, or Mathematics, or high school diploma/GED and at least 9 years of engineering experience.
- Minimum of 5 years of engineering experience.
- Must obtain and maintain a U.S. Government Security Clearance; U.S. citizenship is a prerequisite.
- Must be able to meet U.S. Person status requirements for access to U.S. export-controlled information.
Nice to have
- Experience utilizing digital tools such as Jira, Confluence, and Cameo.
- Experience developing and maintaining APIs; active “Advanced Program” access is also desired.
Tools
Jira, Confluence, Cameo, APIs, AI/ML
AI focus
Identify and implement AI/ML solutions for engineering workflows, data analysis, and design decisions; the posting mentions machine learning and natural language processing.
Model-written summary · the original posting is authoritative