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Model Predictive Control Jobs in Addison, IL (NOW HIRING)

ServiceNow Developer

Chicago, IL · Remote

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Lead the design and development of predictive and inferential models that generate actionable ... version control, and methodological rigor. * Synthesize complex technical findings into clear ...

Principal Data Scientist

Mettawa, IL · On-site

$150 - $210/hr

Lead the design and development of predictive and inferential models that generate actionable ... version control, and methodological rigor. * Synthesize complex technical findings into clear ...

ServiceNow Developer

Chicago, IL · On-site

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Lead the design and development of predictive and inferential models that generate actionable ... version control, and methodological rigor. * Synthesize complex technical findings into clear ...

Lead the design and development of predictive and inferential models that generate actionable ... version control, and methodological rigor. * Synthesize complex technical findings into clear ...

ServiceNow Developer

Chicago, IL · On-site

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

ServiceNow Developer

Chicago, IL · Remote

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Lead the design and development of predictive and inferential models that generate actionable ... version control, and methodological rigor. * Synthesize complex technical findings into clear ...

Control for hydraulic and pneumatic systems * Multi-panel testers * Electrical and mechanical ... Create and execute Preventative and/or Predictive maintenance documents * Evaluate status of ...

New

... and take control of their AI landscape - agents, copilots, models, and the data behind them ... solutions, predictive analytics, and scalable MLOps practices. * Strong programming skills in ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

As a Quantitative Researcher , you will develop mathematical models using advanced statistical ... Extract predictive signals from financial data through both traditional statistical analysis ...

... and take control of their AI landscape - agents, copilots, models, and the data behind them ... solutions, predictive analytics, and scalable MLOps practices. * Strong programming skills in ...

Developing predictive modeling and trend analysis tools using advanced statistics that anticipate ... Adhering to the Firm's IT Service Delivery standards and Change Control processes. * Adhering to ...

Experience applying AI/ML tools such as OCR, NLP, or predictive modeling to automation use cases ... Proficiency with version control tools (e.g., Git). * Experience developing APIs or integrating ...

... review, predictive coding model training and validation, quality control protocols, and defensible methodology documentation in support of complex litigation and regulatory matters. Production ...

Showing results 41-60

Model Predictive Control information

See Addison, IL salary details

$55.1K

$96.8K

$131.2K

How much do model predictive control jobs pay per year?

As of Sep 5, 2026, the average yearly pay for model predictive control in Addison, IL is $96,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $108,200.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What job categories do people searching Model Predictive Control jobs in Addison, IL look for?

The top searched job categories for Model Predictive Control jobs in Addison, IL are:

What cities near Addison, IL are hiring for Model Predictive Control jobs?

Cities near Addison, IL with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $96,754 per year, or $46.5 per hour.

Associate Engineer I

Dynamic Manufacturing

Melrose Park, IL • On-site

$55K - $62K/yr

Full-time

Retirement, PTO

Posted 15 days ago


Dynamic Manufacturing rating

8.0

Company rating: 8.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Dynamic Manufacturing, Inc. is searching for an Associate Engineer to join our growing team.  The Associate Engineer is responsible for managing, designing, implementing, and maintaining motion control applications, industrial manufacturing equipment, and multi-panel testers. You must demonstrate advanced knowledge of creating drawings, motion control, motor control, hydraulic and pneumatic control, Vision Systems, Safety relays and components, servos, DC motors, three phase motors, VFDs, PLCs and HMIs selection and programming.

At Dynamic Manufacturing, we offer:

  • An Engaging Work Environment
  • Opportunities for Advancement
  • Tuition Reimbursement
  • Competitive Pay (we pay weekly!)
  • Comprehensive Benefits Package & 401(k) Match
  • Generous Paid Time Off, and more!


Essential Functions: 

  • Assist in managing projects
  • Interface and collaborate with Product Engineers, Manufacturing Engineers, Quality Engineers, Applications Engineers, Mechatronics Engineers, Mechanical Design Engineers, Maintenance Technicians, and Calibration Technicians
  • Assist in the design, implement, and maintain:
    • Electrical Control systems
    • Control for hydraulic and pneumatic systems
    • Multi-panel testers
    • Electrical and mechanical solutions
  • Read, edit, and generate electrical schematics and wiring diagrams
  • Read, edit, and generate mechanical drawings
  • Read, edit, and generate hydraulic and pneumatic diagrams
  • Troubleshoot electrical and mechanical design issues
  • Create and execute Preventative and/or Predictive maintenance documents
  • Evaluate status of equipment to determine necessary repairs, redesigns or rebuilds


Qualifications: 

  • Education: Associates degree or equivalent experience
  • Practical experience and demonstrated knowledge of:
    • Assisting in the design of and implementing industrial machines
    • Drawing and editing electrical schematics using AutoCAD, AutoCAD Electrical and Visio
    • Creating and editing mechanical drawings using Inventor
    • Creating pneumatic and hydraulic drawings
    • Hydraulic and pneumatic principles, as well as parts selection and operations
    • DC and three phase Motor selection and control for the application
    • VFD selection, wiring, control, and programming for the application
    • Control via relay circuit and selection of safety relays and circuits for the application
    • Motion control
    • Best practices for wiring, shielding, grounding, and signal noise cancelation
    • Cognex Vision Systems and Industrial Barcode Scanners
    • Automation Direct, Keyence, and Banner Engineering product lines
    • PLC (Automation Direct family brands, Allen Bradly, Omron…) and HMI Hardware
    • PLC and HMI programming (Ladder Logic or other)
    • Knowledge and understating of NI Hardware
    • Maintenance of Electrical, Mechanical, and Industrial equipment
    • Electrical Panel layout and implementation
    • Analog sensors such as pressure and torque transducers
    • Digital sensors such as proximity sensors, their types and operation
  • Advanced troubleshooting skills
  • Ability to understand regular operation of equipment with minimal documentation
  • Strong communication skills, Lean and continuous improvement mindset
  • Organized, skilled in technical writing and thorough in documenting work
  • Problem solving and troubleshooting skills


The above statements are intended to describe the general nature and level of the work being performed in this job. This is not an exhaustive list of all duties and responsibilities. The management of Dynamic Manufacturing, Inc. reserves the right to amend and change responsibilities to meet business and organizational needs.


WHY CHOOSE DYNAMIC?

Dynamic Manufacturing is a family owned and operated organization formed in 1955 by John Partipilo. Our organization specializes in the manufacture of automotive, off-road, industrial and racing powertrain products. This includes Torque Converters, Transmissions (Automatic, Manual, Hybrid models) and Transfer Case Assemblies. 

Our organization started with a single retail facility and a dream. Today, we serve the aftermarket and several OE customers. Our operations consist of almost a million square feet of floor space and 1,000+ extremely talented employees encompassing turnkey operations from engineering, total machining operations, through assembly and dynamometer testing. 

We are an equal opportunity employer and prohibit discrimination/harassment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  


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