Advanced AI Engineer - Structural Analysis & Python

Honeywell Aerospace · Torrance, California, United States · $185K–$231K/yr

Automation Machinery Manufacturing · 10,001+ employees

5 h ago

Senior (5-10 yrs) Full-time United States

About the role

Develop AI-driven engineering design tools and physics-based machine learning models to accelerate the analysis of aerospace mechanical systems. Integrate AI surrogates with traditional computational tools like CFD and FEA to improve engineering efficiency and product performance.

What they look for

AI Engineering Python Structural Analysis Physics-Informed Machine Learning Surrogate Modeling CFD FEA PyTorch TensorFlow JAX MLOps Abaqus Python Scripting PyAnsys NVIDIA Modulus NVIDIA Physics NEMO MeshGraphNets

Requirements

Requires a bachelor's degree in a technical discipline with at least 5 years of experience in Aerospace or Mechanical Engineering and 2 years in AI for physics-based simulation. Proficiency in Python and experience with simulation scripting and NVIDIA's physics-accelerated AI tools are essential.

Benefits

Medical Insurance Dental Insurance Vision Insurance Life Insurance Short-term Disability Coverage Long-term Disability Coverage 401(k) Match Flexible Spending Accounts Health Savings Accounts Employee Assistance Program Educational Assistance Parental Leave Paid Holidays Paid Time Off

Full description

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.