Advanced AI Engineer - Mechanical Engineering

Honeywell Aerospace US LLC; Tempe (AZ); On-site; USD 140,000 - 210,000; Full time

Job summary

Honeywell Aerospace US LLC in Tempe, AZ seeks an Advanced AI Engineer to advance AI-driven design tools and physics-based ML models. You will build surrogate models, PINNs, and digital twins, accelerating CFD, FEA, and multi-physics simulations while integrating with existing engineering workflows.

You will collaborate across global teams and research partners, contributing from concept through integration, mentoring others, and pursuing advanced AI methods for aerospace systems.

Qualifications

• Bachelor’s degree in scientific/engineering disciplines.
• 2 years of AI models for physics-based simulation experience.
• 3 years with Abaqus/Ansys scripting or similar tools.
• 5 years in CFD/structural analysis design and simulation.
• Mentoring experience.
• Experience with NVIDIA physics tools for physics-informed DL.

Responsibilities

• Develop Physics-AI and surrogate models for CFD, thermal and structural analyses.
• Create scripted FEA/CFD models to generate training data.
• Shape AI strategy for engineering design with PINNs and digital twins.
• Research multi-physics AI methods for aerospace components.
• Collaborate to integrate surrogates into design workflows.
• Support proposals and cross-functional outreach.

Skills

Python

PyTorch

TensorFlow

JAX

MLOps

Physics-informed ML

Surrogate modeling

PINNs

CFD integration

Education

Bachelor's degree

Master's preferred

Tools

Abaqus scripting

Ansys PyAnsys

APDL

NVIDIA Physics NEMO

Modulus

Warp

Job 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.

Key Responsibilities

• Contribute to the creation of advanced Physics-AI models and surrogate models to accelerate engineering workflows for CFD, thermal analysis, structural analysis, and system-level simulation.
• Create scripted FEA or CFD models to generate training data over parameter and load condition spaces.
• Suggest ideas to drive the AI strategy for engineering design, with a focus on physics-informed neural networks (PINNs), digital twins, and high-fidelity model surrogates.
• Research and test new AI methodologies for multi-physics modeling of aerospace components such as engines, wheels and brakes, and mechanical actuation systems.
• Suggest improvements to current processes for efficient data generation, data handling, and model utilization.
• Utilize and advance state-of-the-art NVIDIA simulation and AI acceleration tools, including Physics NEMO and related model-based AI frameworks.
• Collaborate closely with engineering teams to integrate surrogate models into design processes, enabling faster trade studies, optimization, and predictive analysis.
• Contribute to technical execution across internal and government-sponsored R&D projects and contribute to proposal development.
• Assist with outreach to traditional design and analysis engineering functions.

Qualifications

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in technical disciplines such as the sciences, technology, engineering or mathematics.
• 2 years of experience developing AI models for physics-based simulation, engineering analysis, multi-physics modeling, or surrogate modeling. Experience in a graduate program may be included.
• 3 years with simulation scripting (Abaqus Python scripting interface, Ansys PyAnsys or APDL or similar open-source tools).
• 5 years working on design and simulation of physics of engineering systems involving concepts such as Computational Fluid Dynamics or Structural Analysis
• Experience mentoring others in specialty areas.
• Experience with NVIDIA’s physics-accelerated AI tools such as Physics NEMO, Modulus, Warp, or similar platforms for physics-informed deep learning

WE VALUE

• Bachelor’s or Master’s degree in aerospace engineering, mechanical engineering, or a related engineering discipline.
• Proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.
• Experience with JAX for differentiable models
• Experience working in structured machine learning deployment environments i.e. MLOps workflows
• Experience with CFD, structural analysis, thermal modeling, or multi-physics simulation, and the ability to couple these with AI-based surrogates.
• Experience with AI model architectures used for surrogate modeling, such as but not limited to MeshGraphNets, Neural Operators, Physics-Informed and Physics-Attention models.
• Experience with model visualization through tools such as PyVista, Matplotlib, Plotly, and others.
• Awareness of considerations for deploying AI models into engineering design workflows or digital engineering ecosystems.
• Awareness of current research in physics-informed ML, scientific machine learning, and surrogate modeling at major conferences and journals.

ABOUT HONEYWELL AEROSPACE

Join a company that’s reintroducing itself to the aviation community we’ve helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we’re launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.

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.

BENEFITS OF WORKING FOR HONEYWELL AEROSPACE

Beyond a performance-driven salary, you’ll work alongside dedicated experts on technology that’s advancing aviation. As a Honeywell Aerospace employee, you’re eligible for a comprehensive benefits package that includes:

• Employer-subsidized medical, dental, vision and life insurance
• Short-term and long-term disability coverage
• 401(k) match, flexible spending accounts and health savings accounts
• Employee assistance program and educational assistance
• Parental leave and 12 paid holidays
• Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: August 6, 2026

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Sponsorship

We are currently not sponsoring applicants for work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.