The intern will design, develop, and integrate complex software applications while contributing to cutting-edge AI and machine learning projects. Responsibilities include modeling and testing AI software, evaluating data to improve industrial processes, and collaborating with cross-functional engineering teams.
Requirements overview
Candidates must be currently pursuing a bachelor's degree or higher in Engineering, Computer Science, or a related field with a graduation date of December 2027 or later. Applicants must maintain a 3.0 GPA or higher and meet U.S. export control requirements as a U.S. citizen or permanent resident.
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
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Description
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