Senior Software Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

⚡ Energy

Aerospace • Energy • Engineering

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, deliver, and maintain software applications and services across ML, cloud, platform, and application domains • Own the full software lifecycle: requirements analysis, solution design, implementation, documentation/procedures, testing, deployment, and operational support • Convert complex engineering datasets into reliable, scalable workflows that enable modeling, inference, and decision support in design and manufacturing contexts • Define, develop, and evolve AI-enabled software products and platforms that accelerate aerospace design engineering workflows • Provide hands-on technical leadership for an Agile team of 8-10 engineers • Partner with Control Title Holders and engineering stakeholders to understand product vision and translate design-engineering needs into software and AI capabilities • Write production-quality code that meets standards and delivers intended functionality using the most appropriate technologies for the project (e.g., Python, Java, C#, TypeScript) • Proactively share information across the team and stakeholders with the right level of detail, strong timeliness, and clear technical rationale

🎯 Requirements

• Bachelor’s Degree from an accredited college or university (or a high school diploma/GED with a minimum of 4 years of relevant working experience) • At least an additional 3 years of relevant working experience • Proven experience building data platforms and ML systems for engineering/scientific data (simulation, test, telemetry, manufacturing, or similar) • Strong cloud expertise across AWS and Azure, including architecture, security, and operations • Experience with MLOps practices: experiment tracking, reproducible training, model registry, CI/CD for ML, automated evaluation, monitoring/drift detection, and controlled rollouts • Experience building APIs and services for AI-powered applications (REST/gRPC), plus strong data access patterns and query optimization • Familiarity with modern engineering data formats and workflows (e.g., time-series, large unstructured results, metadata catalogs) • Experience with Windows and Unix/Linux development environments • Understanding of simulation-driven design workflows and data (e.g., CFD, FEA, thermal, aero/structural analysis) • Experience with surrogate modeling, optimization loops, or AI-assisted design exploration is a strong plus

🏖️ Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program provides 24/7 confidential assessment, counseling and referral services • Retirement benefits include GE Aerospace Retirement Savings Plan, 401(k) savings plan with company matching contributions, and access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness