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Model Predictive Control Jobs in Wisconsin (NOW HIRING)

WI · On-site

Knowledge of Advanced control systems, Model Predictive Control.Experience with auto code generation.Working knowledge of with battery, drive, and motor systems.Experience leading technical teams.We ...

Controls Algorithm Engineer

La Crosse, WI · On-site

$82K - $106K/yr

Advanced control knowledge preferred (modern control theory, model predictive control, non-linear control, adaptive control). * System modeling expertise required. (Proficiency with Matlab Simulink ...

WI · On-site

$57.75 - $76/hr

... control systems like SCADA, EMS/ADMS/DERMS, DCS, and PI historians. Familiar with operational tasks such as asset-performance management and predictive maintenance. * Experience with energy modeling ...

Work Model: This role can be performed remotely from an approved location, with flexibility based ... Ensure predictive maintenance findings are clearly communicated, lead to action, outcomes are ...

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Model Predictive Control information

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 are popular job titles related to Model Predictive Control jobs in Wisconsin?

For Model Predictive Control jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Wisconsin look for?

The top searched job categories for Model Predictive Control jobs in Wisconsin are:

What cities in Wisconsin are hiring for Model Predictive Control jobs?

Cities in Wisconsin with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Principal Motor Control Engineer

WI • On-site

Other

Medical, Dental, Vision, Retirement

Posted 25 days ago


Key responsibilities

  • Collaborate with engineering teams to design, model, simulate, and implement control algorithms for products.

  • Develop, analyze, maintain, and document control system architecture using modeling tools such as MATLAB, Simulink, and Stateflow.

  • Peer review software and control design/source code and lead the team in engineering best practices.


Job description

Job Description:INNOVATE WITHOUT BOUNDARIES!At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our electrical engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE .The Principal Motor Control Engineer will collaborate with various Engineering teams to design, model, simulate, and implement innovative control algorithms for our products. You will join a team of passionate control, electronic, firmware and system engineers to deliver the next breakthroughs in battery systems and power tool technology.You’ll also be DISRUPTIVE through these duties and responsibilities:Executing a lead role for the design, model, simulate, and implement advance control algorithms.Develop, analyze, maintain and document control system architecture.Use modeling tools such as MATLAB, Simulink and Stateflow.Collaborate with Hardware and Firmware Engineers to optimize and implement next-generation control algorithms.Peer review software and controls designs/source code.Lead and mentor the team in engineering best practices including task management, root cause analysis, and control algorithm development.Innovate control solutions to meet the needs of the business.Use laboratory equipment such as oscilloscopes, power supplies, electronic loads, and HIL test equipment to validate control algorithms.Track projects to ensure adherence to schedule and Milwaukee Tool’s processes.Schedule, develop agendas for, facilitate, and document technical meetings and formal presentations.Develop and apply manufacturing mindset to designs to effectively and efficiently mass produce power tools.Acquire knowledge and maintain an understanding of Milwaukee Tool’s development and manufacturing processes.What TOOLS you’ll bring with you:Bachelor Degree in Electrical Engineering or related field.10+ years of experience in the field of model-based control development utilizing design tools such as MATLAB/Simulink.10+ years of Matlab/Simulink model-based design code generation and automated testing.Extensive knowledge of closed loop control theory, vector control and pulse width modulation techniques.Extensive knowledge of control loop tuning and stability analysis.Ability to read power electronics schematics and component data sheets.Excellent problem-solving skills exercises independent judgement and works well under pressure in a dynamic environment.Self-motivated, organized, efficient, process oriented with a strong work ethic.Ability to travel 10% of the time (domestic and international).Other TOOLS we prefer you to have:Master of Science Degree in Electrical Engineering or related field.Experience developing plant models to simulate physical systems.Experience with single phase and/or three phase power applications.Experience with single phase and/or three phase motor control applications.Knowledge of Advanced control systems, Model Predictive Control.Experience with auto code generation.Working knowledge of with battery, drive, and motor systems.Experience leading technical teams.We provide these great perks and benefits:Robust health, dental and vision insurance plans.Generous 401 (K) savings plan.Education assistance.On-site wellness, fitness center, food, and coffee service.And many more, check out our benefits site HERE .Milwaukee Tool is an equal opportunity employer. #J-18808-Ljbffr