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Python Mechanical Engineer Jobs in Queen Creek, AZ

ASM

Senior Engineer I, Mechanical Engineering

Phoenix, AZ · On-site

$103K - $137K/yr

Mechanical Engineer to design and develop advanced high precision equipment for the semiconductor ... Knowledge of MATLAB/Simulink or Python to create custom analysis and visualization apps is a plus.

ASM

Senior Engineer I, Mechanical Engineering

Phoenix, AZ · On-site

$103K - $137K/yr

Mechanical Engineer to design and develop advanced high precision equipment for the semiconductor ... Knowledge of MATLAB/Simulink or Python to create custom analysis and visualization apps is a plus.

YO AI Labs

Autodesk Fusion 360 Expert - Remote

Phoenix, AZ · On-site +1

$40 - $120/hr

Mechanical Assembly Modeling * CAD Model Auditing * Reverse Engineering * Manufacturing Processes (Injection Molding, Sheet Metal, CNC, Casting/Forging) * Python, iLogic, NX Open, or VBA * Technical ...

YO AI Labs

Autodesk Inventor Expert - Remote

Phoenix, AZ · On-site +1

$30 - $120/hr

Assembly-level mechanical design. * Reverse engineering (Scan-to-CAD, Point Cloud-to-Model ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

YO AI Labs

SolidWorks Expert - Remote

Phoenix, AZ · Remote

$40 - $130/hr

Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ... Current experience in mechanical or industrial CAD modeling. * Reverse engineering expertise ...

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All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Queen Creek, AZ

Python Mechanical Engineer information

See Queen Creek, AZ salary details

$23K

$140.1K

$202.7K

How much do python mechanical engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for python mechanical engineer in Queen Creek, AZ is $140,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $164,600.00 per year, depending on experience, location, and employer.

What does a Python mechanical engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.

How does a Python mechanical engineer typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a Python mechanical engineer, and why are they important?

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

Are Python Mechanical Engineers in demand?

Python Mechanical Engineers are in demand as companies seek professionals who can integrate Python programming with mechanical systems, automation, and data analysis. Skills in Python, CAD software, and control systems increase employability in industries like manufacturing, robotics, and engineering design.

What are popular job titles related to Python Mechanical Engineer jobs in Queen Creek, AZ?

For Python Mechanical Engineer jobs in Queen Creek, AZ, the most frequently searched job titles are:

What cities near Queen Creek, AZ are hiring for Python Mechanical Engineer jobs?

Cities near Queen Creek, AZ with the most Python Mechanical Engineer job openings:

Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Queen Creek, AZ as of June 2026, with employment types broken down into 10% Internship, 76% Full Time, 9% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $140,080 per year, or $67.3 per hour.

Advanced AI Engineer - Mechanical Engineering

Honeywell International, Inc.

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

65th of 545 rated manufacturers

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
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.
#LI-Hybrid
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.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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