The Aerospace Corporation Logo

The Aerospace Corporation

Software AI Intern - Summer 2027 (U.S. Person Required)

Posted One Month Ago
Remote or Hybrid
Hiring Remotely in United States
26-45 Hourly
Internship
Remote or Hybrid
Hiring Remotely in United States
26-45 Hourly
Internship
Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.
The summary above was generated by AI

When you join Honeywell Aerospace, you become a member of our global team of thinkers, innovators, dreamers and doers who create impact in the aviation world. That means changing the way we fly, fueling jets in an eco-friendly way and even making it possible to breathe on Mars. 

Working at Honeywell Aerospace means advancing aviation alongside yourself. That’s why our employees enjoy access to dynamic career opportunities across different fields and industries. 

Our new brand identity pairs that heritage with real momentum as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.

Focusing on our customers, investing in innovation and building a culture of accountability and performance is how we're shaping what comes next.

Every horizon. Every mission. Every day.


Are you ready to rise with Honeywell Aerospace?  

Join a team that designs, develops, and integrates highly complex software applications within Honeywell Aerospace. As an AI Software Engineering Intern here at Honeywell Aerospace, you will have the opportunity to gain hands-on experience and contribute to cutting-edge AI projects. You will work closely with our team of talented AI engineers and researchers to develop and implement innovative solutions. This internship will provide you with valuable insights into the field of AI and machine learning, and you will have the chance to apply your knowledge in a real-world setting.   


WHAT YOU WILL LEARN:  

  •  Model, build and test AI software to ensure it can take large swatch of data and achieve desired results  
  • Use Python, JavaScript and C++ to create a faster, more capable AI  
  • Evaluate statistics, data and algorithms to increase productivity of assets, people and processes in industrial applications/use cases  
  • Work with team of machine-learning and data engineers to develop seamless AI and integration  
  • Stay current on AI knowledge, trends, and regulations  
  • Collect, organize, and present progress with team leadership and stakeholders


Location: This position is available in multiple locations across the United States.

The exact worksite location will be selected based on business requirements and the candidate’s relevant experience and qualifications.

The hourly base range for this position is $26.00/hr - $44.85/hr. Please note that this salary information serves as a general guideline. Honeywell Aerospace considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations

Qualifications

MINIMUM QUALIFICATIONS:

· Currently pursuing a bachelor’s degree (or higher) from an accredited college or university in Engineering, Computer Science or similar field

· Must graduate December 2027 or later

· Must continue enrollment in degree program upon completion of the internship

· Validated academic excellence (3.0 GPA and higher)

· Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.

Honeywell Aerospace is currently unable to consider applicants who would require current or future sponsorship for employment authorization for this position. Candidates must be authorized to legally work in the United States without current or future sponsorship requirements.

WE VALUE:

  • Understanding of data science, linear algebra, algorithms, and statistics  

  • Demonstrated ability to develop efficient and high-quality software and in-depth knowledge of computer programming language such as Python, JavaScript, and C++  

  • Experience in developing and deploying end-to-end AI/ML solutions  

  • Understanding of data warehousing  

  • Willingness to learn and continue developing knowledge in an up-and-coming field  

  • Excellent problem-solving skills with the ability to thrive in a demanding fast-paced work environment  

  • Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams  

Interning at Honeywell Aerospace provides hands-on experience with cutting-edge technologies, professional development, and mentorship within a global organization. Interns will receive relocation benefits and short-term housing if they are 50 miles or more from their assigned work location (excluding Puerto Rico and Canada).

The application period for the intern position is estimated to be through the end of March 2027; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

#HoneywellAerospaceURNAM

Similar Jobs

4 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.
Top Skills: Apache AirflowCi/CdCypressDatabricksDbtDelta LakeGitPlaywrightPythonSodaSpark SqlSQL
9 Minutes Ago
Remote or Hybrid
United States
214K-285K Annually
Senior level
214K-285K Annually
Senior level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Own and improve Hex’s cloud infrastructure, CI/CD, observability, databases, security, cost management, and single-tenant deployment systems. The role involves selecting and delivering infrastructure projects, operating Kubernetes and AWS environments, scaling PostgreSQL, implementing infrastructure as code, and building customer-facing platform capabilities. Engineers are expected to handle on-call responsibilities, write application code when needed, and independently turn ambiguous infrastructure problems into shippable solutions.
Top Skills: AWSCi/CdDatadogDnsDynamoDBEksGoIamKubernetesLancedbMskNode.jsPostgresPrivatelinkPythonRdsRedisRustTerraformTlsTypescriptVpc
25 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
236K-295K Annually
Senior level
236K-295K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
Own Apollo’s core data catalog product vision, strategy, roadmap, and delivery. Lead data quality, telemetry, sourcing, vendor evaluation, taxonomy, enrichment, and customer-facing data experiences. Partner with Engineering, Data Science, Design, GTM, Support, and Legal to improve catalog coverage, accuracy, freshness, compliance, and usability. Prototype rapidly with AI-native tools, define KPIs, make build-versus-buy decisions, and drive cross-functional execution for Apollo’s data platform.
Top Skills: APIsCcpaClaude CodeCursorData ModelsData TelemetryFigma AiGdprKpi InstrumentationLovableObservability

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account