At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
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What You will Do
- Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
- Consult on architecture, implement proof of concepts, and deliver solutions for business strategic projects, including data science and machine learning systems.
- Build and present product architectures, write technical code, and demo applications to stakeholders.
- Gain hands-on experience with the Innovator Method and turn customer insights into solutions that deliver real business value.
- Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
- Work to ship solutions to production that meet business needs and drive impact.
Required Qualifications
- Graduate or pursuing a bachelor’s degree in computer science, Aerospace Engineering, Mechanical Engineering, or a related field at an accredited university or credentialed software accelerator program.
- Minimum 3.7 cumulative GPA on a 4.0 scale without rounding.
- Strong academic performance in Computer Science or other STEM disciplines.
- Experience designing AI solutions and architecting distributed data systems.
- Proficiency in programming and debugging with Python, C#, C++, and SQL.
- Customer-centric mindset with the ability to lead design thinking workshops.
- Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision.
- Experience building solutions using public cloud platforms such as AWS or Azure.
- Preferred but not required: AWS and/or Azure certification.
- No prior work experience required.
About The Internship
- Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
- Paid Internship
- Travel Opportunities
- Real-world project ownership
- Mentorship from experienced engineers
- Opportunity for return offers
Location
Remote
