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Model Predictive Control Jobs in Wisconsin (NOW HIRING)

Senior Engine Code Engineer

Waukesha, WI · On-site

$104K - $143K/yr

... improve engine control, and increase engine performance across a range of gaseous fueled ... and predictive analytics techniques applied to engine performance and emissions modeling.

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

Translate machine data into control plans, closed-loop feedback opportunities, predictive quality models, and data-driven manufacturing decisions. Project Management Skills: * Lead manufacturing ...

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

Translate machine data into control plans, closed-loop feedback opportunities, predictive quality models, and data-driven manufacturing decisions. Project Management Skills: * Lead manufacturing ...

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

You'll be encouraged to share your experiences, ideas and skills to help others take control of ... Data Modeling, Reporting, and Business Intelligence: * Proficient level understanding of the ...

Senior Analyst, Analytics

Madison, WI

$88K - $117K/yr

You'll be encouraged to share your experiences, ideas and skills to help others take control of ... Data Modeling, Reporting, and Business Intelligence: * Proficient level understanding of the ...

The position oversees mechanical operations, preventive and predictive maintenance programs, safety ... Implement and administer inventory control programs, including purchasing and managing parts and ...

WI · On-site

$120 - $160/hr

... predictive analytics, and cloud collaboration. Translate customer requirements into detailed ... Ensure project control through rigorous model compliance, clear communication, and effective change ...

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Showing results 21-40

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 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 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 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 100% Full Time. Highlights an 100% In-person job distribution.

Senior Engine Code Engineer

Generac Power Systems, Inc.

Waukesha, WI • On-site

$104K - $143K/yr

Full-time

Re-posted 26 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
The Senior Engine Code Engineer plays an important role in advancing the design and performance of internal combustion engines (ICE), through code creation, embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab/Simulink tools to optimize system behavior, improve engine control, and increase engine performance across a range of gaseous fueled applications.
Essential Duties and Responsibilities:
  • Create system-level engine code using Matlab/Simulink to support engine and generator design and development.
  • Conduct simulated and functional analyses to evaluate engine performance of mechanical and energy systems.
  • Conduct system evaluation and testing to aid in optimizing an engine's steady state and transient performance.
  • Interpret testing results and collaborates with cross-functional teams through code design reviews and technical discussions to guide product development.
  • Contribute to the development of software and code analysis best practices to improve efficiency and accuracy.
  • Document code objectives, methods, and results using standardized reporting formats.
  • Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting.
  • Stay informed on relevant technologies, tools, and industry trends to support continuous improvement.

Minimum Qualifications:
  • Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline
  • 5+ years of relevant work experience

Knowledge Skills and Abilities:
  • Proficiency in applying Matlab/Simulink to internal combustion engine related systems, including steady state, transient, fault codes, SPNs, SAE J1939 CAN networks, sensor integration, and embedded systems.
  • Experienced in automotive standards.
  • Experience with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).
  • Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.
  • Familiarity with generator design.
  • Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing.
  • Strong written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.

Preferred Qualifications:
  • Master's degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field of study.
  • Advanced engine and engine system code writing in Matlab/Simulink.
  • Advanced experience applying MATLAB/Simulink and Python to internal combustion engine design.
  • Advanced experience using ATI Vision to set calibrations in internal combustion engines.
  • Advanced experience in applying MATLAB/Simulink and Python in engineering analysis and simulation.
  • Advanced proficiency in applying Matlab/Simulink code to complex propulsion systems, with demonstrated success in optimizing transients, steady state, and overall performance.
  • Deep expertise in internal combustion engine control code, operational dynamics, and advanced testing methodologies.
  • Extensive experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation.
  • Exceptional ability to synthesize and present complex code insights to diverse technical and non-technical stakeholders, influencing design decisions.
  • Proficient in applying machine learning and advanced predictive analytics to optimize engine performance with experience developing custom code.
  • Superior analytical acumen and strategic problem-solving capabilities, with a track record of delivering high-impact engineering solutions.
  • Excellent written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.
  • Familiarity with gaseous fuel systems for internal combustion engines.

Physical Demands:
While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."