GE Aerospace Logo

GE Aerospace

Software Engineer

Posted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Entry level
Remote
Hiring Remotely in USA
Entry level
Design, build, and ship production-grade AI and data solutions (LLM apps, ML models, APIs). Consult on architecture, own features end-to-end, apply cloud and data engineering, lead design thinking workshops, and collaborate across teams to deliver measurable business impact.
The summary above was generated by AI
Job Description SummaryGE Aerospace is hiring an early-career Software Engineer to help our engineers unlock the power of data, cloud, and AI. You will consult on architecture, build proof of concepts, and ship production solutions for strategic business projects — including data science and machine learning systems. Applying the Innovator Method, you'll turn customer insights into solutions that deliver measurable business value while deepening your expertise in cloud platforms, data engineering, and AI technologies. This role is an ideal next step for interns completing our internship program and for recent graduates ready to shape the future of flight.Job Description

Company Overview:

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

Site Overview:

For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot & harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community through grants and philanthropic programming.

Role Overview:

At GE Aerospace, our people invent the future of flight — lifting people up and bringing them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Respect for people is core to our culture and to FLIGHT DECK, our proprietary lean operating model, and we cultivate communities where talented people from all backgrounds are empowered to reach their fullest potential.

At GE Aerospace Technology & Operations, our customers challenge us to tackle some of the world's most complex engineering problems using innovative approaches and new technologies. 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.

As a Software Engineer on this team, you'll move beyond proof of concept: you will own solutions end-to-end, from architecture and design through production deployment and support, delivering real business impact for engineering teams across the company.

We are keen on building scalable, long-lasting solutions — software designed to outlive its first release. That means investing in good design over quick fixes: clean abstractions, simple interfaces, and code that clearly communicates its intent. Working code isn't the finish line; we continually refine our systems so they remain easy to understand, extend, and maintain as they grow, because small design investments today compound into velocity tomorrow.

What You Will Do
  • Design, build, and ship production-grade solutions — LLM-powered applications, machine learning models, and APIs — that enable engineers to evaluate and adopt data and AI capabilities
  • Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems
  • Own features end-to-end — design, implementation, testing, deployment, and production support — to meet business needs and drive measurable impact
  • Build and present product architectures, 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 to turn customer insights into solutions that deliver real business value
  • Apply cloud platforms, databases, data engineering, web technologies, and numerical methods in your work — and stay current with advances in AI, LLMs, and agentic architectures
  • Collaborate closely with teammates, share knowledge and use your strengths to support the team, and build cross-functional relationships across the company
Required Qualifications
  • 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 at least one of the following languages: Python, C++, Go, or Rust
  • Experience working with databases and SQL
  • Hands-on experience in at least one of the following: Machine Learning, Large Language Models (LLMs), or Computer Vision
  • Experience building solutions on a public cloud platform such as AWS or Azure
Desired Qualifications
  • Strong academic performance
  • Experience designing AI solutions and architecting distributed data systems
  • Familiarity with LLM application technologies and patterns, such as retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases and embeddings, and LLM evaluation
  • Experience building and serving REST APIs (e.g., FastAPI, Flask) and packaging AI capabilities for reuse across teams (e.g., Model Context Protocol / MCP servers)
  • Familiarity with MLOps practices, such as experiment tracking (e.g., MLflow), model registries, automated training pipelines, and model monitoring
  • Customer-centric mindset with the 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 modern engineering practices: version control (Git), CI/CD, containers, and agile development
  • AWS and/or Azure certification (preferred but not required)

Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Similar Jobs

7 Hours Ago
Remote or Hybrid
100K-176K Annually
Mid level
100K-176K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, implement, and operate critical, scalable backend services (identity, friend graph, storage). Collaborate across teams, evaluate trade-offs, test and debug, manage availability, scalability, operational excellence, cost, and participate in incident resolution.
Top Skills: AWSC++GCPJavaKotlinKubernetesMemcacheNoSQLPythonRedisSwift
7 Hours Ago
Remote or Hybrid
United States
186K-300K Annually
Senior level
186K-300K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.
Top Skills: Agent OrchestrationAWSAzureCi/CdClaude CodeConnector IntegrationsCopilotCursorEvent-Driven ArchitectureGCPHigh-Throughput Api DesignInfrastructure As CodeReal-Time Data PipelinesReal-Time Systems
Yesterday
Remote or Hybrid
CA, USA
121K-213K Annually
Mid level
121K-213K Annually
Mid level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Design, build, test, ship, and operate services powering card issuance, transaction processing, and disputes. Own features end-to-end within a microservice and event-driven architecture, write well-tested code, participate in on-call incident response, and leverage AI tools to improve development velocity and quality while collaborating with cross-functional teams.
Top Skills: Ai-Powered Developer ToolsAuroraAWSBuildkiteClaudeDatadogDynamoDBEvent-Driven ArchitectureGooseGradleGrpcHibernateHTTPJavaJSONKafkaKotlinMcpMicroservicesMySQLProtocol BuffersRedis

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account