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Honeywell Aerospace VERIFIED EMPLOYER

Advanced AI Engineer - Structural Analysis & Python.

AI & Research Full-Time

Advanced AI Engineer - Structural Analysis & Python: our view in 3 lines...

  • The Role:This role is for an AI engineer developing physics-based machine learning and surrogate models for aerospace engineering design and analysis.
  • The Person:The person will develop AI surrogates and Physics-AI models, integrate them into engineering workflows, and work with cross-functional teams and global research partners.
  • Requirements:The ideal candidate has Python, artificial intelligence, physics-informed methods, surrogate modeling, CFD, FEA, and multi-physics solvers.

About the role

As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on applying artificial intelligence, physics-informed methods, and surrogate modeling to accelerate the design and analysis of aerospace mechanical systems, including wheels and brakes, fuel systems, environmental control systems, and other complex components. You will help shape the next generation of simulation and analysis capabilities by integrating AI with traditional computational tools such as CFD, FEA, and multi-physics solvers.

In this role, you will develop advanced AI surrogates and Physics-AI models, and contribute to the transition these technologies into engineering workflows across Honeywell Aerospace. You will collaborate with cross-functional teams and global research partners, pursue both internal and government research funding, and contribute to the execution from concept through integration. Your work will impact engineering efficiency, product performance, and Honeywell’s leadership in AI-enabled engineering design.

 

You will work from our Torrance, CA location on a Hybrid schedule.  No Relocation Offered.

Published July 21, 2026
Location Torrance, CA
Category AI & Research  
Job Type Full-Time