Air Management Systems Intern

Location: Syracuse, NY 6304 Carrier Parkway , East Syracuse, NY, 13057 USA

About this role

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Carrier Corporation’s Air Management Systems group in Syracuse, NY, is seeking a qualified student candidate for a full-time position during the summer of 2025. The AMS group develops advanced, highly efficient fan technologies for HVAC applications. This internship offers an opportunity to work and learn alongside practicing engineers and to assist in projects that will directly affect products under development and deployed in the field. Students will gain experience in computational fluid dynamics, including the use of machine learning and artificial intelligence models to accelerate fan performance predictions. This experience may also be coupled with experimental laboratory work, including wind tunnel and acoustic testing, applied to a variety of practical engineering problems. Applicants should be self-motivated individuals, ideally with some background in fluid mechanics, such as related undergraduate coursework or research experience.

Key Responsibilities

• Work with other members of the AMS team to assist with the design and development of fan technologies using computational- and laboratory-based methods, including application of machine learning/AI to engineering data sets
• Develop practical engineering skills while seeing a primary project to completion
• Summarize progress and findings in weekly meetings and in a final report to management

Required Qualifications

• Pursuing a B.S., M.S., or Ph.D. in mechanical or aerospace engineering
• 3.0 or higher GPA

Preferred Qualifications

• Coursework:
  Introductory fluid mechanics
  Aerodynamics
  Turbomachinery design
• Familiarity with the following software:
  Computer-aided design (CAD), such as SolidWorks, SpaceClaim, Creo
  MATLAB
  Python
  LabVIEW
• Experience with or interest in the application of AI models to engineering problems
• Strong interest in the design and development of rotating machinery
• Previous research experience in a laboratory environment
• Good communication and organizational skills
  
  
  
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