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Python Mechanical Engineer Jobs in Peoria, IL (NOW HIRING)

Job Overview Analyze mechanical components, structures, and systems in concept, design, or hardware ... Interest in, and willingness to learn Python, C++, or other coding languages, required.

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Python Mechanical Engineer information

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$22.6K

$137.3K

$198.7K

How much do python mechanical engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for python mechanical engineer in Peoria, IL is $137,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $161,400.00 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 job categories do people searching Python Mechanical Engineer jobs in Peoria, IL look for?

The top searched job categories for Python Mechanical Engineer jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Python Mechanical Engineer jobs?

Cities near Peoria, IL with the most Python Mechanical Engineer job openings:

Infographic showing various Python Mechanical Engineer job openings in Peoria, IL as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $137,338 per year, or $66 per hour.

Engine Control Systems Engineer

Talent Search PRO

Chillicothe, IL • On-site

$97K - $120K/yr

Full-time

Re-posted 8 hours ago


Job description

Job Title: Engine Control Systems Engineer
Compensation
Base Salary - USD $97,530 to $120,000

Control Systems Engineer
Your Work Shapes the World
Whether it is groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 100 years of legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe. When you join Caterpillar, you are joining a team of makers, innovators, and doers. We are the people who roll up our sleeves and do the work to build a better world. We don't just talk about progress and innovation. We make it happen. And we are proud of that, because it helps our customers build and power the world we live in - the roads, hospitals, homes, and infrastructure. Without a dedicated workforce, Caterpillar could not effectively meet our customers' needs. Join us.
Role Description:
This role encompasses the design, development, and validation of electro-mechanical systems and mechatronic devices with the aim of optimizing engine performance and emissions. As an individual contributor within the Large Engine Controls team in the Large Power Systems Division (LPSD), you will be responsible for designing, building, and testing control strategies specific to LPSD engines. Working under the direction of technical team leads, you will apply your knowledge of engine systems, dynamic feedback control theory, simulation, and testing to meet customer specifications. Key responsibilities include collaborating with colleagues to refine system requirements, developing and verifying control algorithms through simulation and on-engine testing, as well as comprehensively documenting and presenting results.
What you will do:
  • Collaborate with process partners to develop and refine engine control system requirements.
  • Utilize expertise in engines and dynamic feedback controls-including frequency and time domain design, Multi Input Multi Output (MIMO) systems, digital signal processing, filter design, and logical control methodologies-to design and evaluate control features.
  • Develop and maintain Matlab/Simulink and GT-Power-based Model-in-Loop (MiL) simulation framework for use in design and verification of control algorithms.
  • Analyze and present data using advanced analysis and visualization tools such as Vector CANape, Matlab, and Python.
  • Deliver timely, high-quality simulation-driven design analyses and provide clear, actionable recommendations to stakeholders.

Education and Experience Requirements:
  • A Bachelor's degree in Mechanical Engineering or Electrical/Electronics Engineering is required
  • Professional experience in dynamic feedback control theory applied to design and analysis of spark-ignited engine control systems

Skills you will have:
  • Analytical Thinking: Working knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
  • Communicating Complex Concepts: Working knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
  • Problem Solving: Working knowledge of approaches, tools, and techniques for recognizing, anticipating, and resolving organizational, operational, or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
  • Embedded Systems: Working knowledge of dynamic feedback control theory, discrete-time embedded systems, digital signal processing, logical control (finite state machines), and physics-based controls design.
  • Requirements Analysis: Basic understanding of tools, methods, and techniques of requirements analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
  • Technical Troubleshooting: Basic understanding of technical troubleshooting approaches, tools, and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation. Working experience with tools like Matlab/Simulink, Vector CANape, GT-Power, etc., Apply knowledge of engines and control software to troubleshoot issues using fishbone diagrams using MiL and on-engine testing.
  • Product Development in Manufacturing: Basic understanding of MiL applied to engine controls, tools and techniques; ability to design, build and manage MiL frameworks. Familiarity with NPI, NTI, and CPI process.
  • Product Testing: Basic understanding of product testing approaches, techniques and tools; ability to design, plan, and execute testing strategies and tactics to ensure product quality at all stages of manufacturing, including MiL and on-engine environments.

Top candidates will possess:
  • A master's degree in engineering accompanied by professional experience in engine control systems design
  • Proficiency in classical control theory, specifically as applied to Multiple Input Multiple Output (MIMO) systems using both the time and frequency domain
  • Demonstrated experience developing engine control systems for gas, diesel, and dual fuel engines, including aftertreatment solutions
  • Advanced expertise in Matlab/Simulink with a focus on designing and verifying control concepts using GT-Power engine models.
  • Strong background in modeling dynamic systems through physics-based white box models, black box approaches, and system identification techniques
  • Exceptional analytical abilities and comprehensive understanding of complex engineering concepts and applications
  • Proven self-motivation with the capacity to effectively communicate technical concepts to team members, cross-functional groups, management, and external suppliers
  • Prior involvement in product development processes (NPI, NTI, and CPI)

Additional Information:
  • This position is Mossville, IL.
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is not available for this position.

Skills and Certifications:
Embedded Systems
Requirements Analysis
Product Development in Manufacturing
Product Testing
Dynamic Feedback Control Theory