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Model Predictive Control Jobs (NOW HIRING)

International Paper

Process Control Engineer

Prattville, AL · On-site

$89K - $118.60K/yr

Develop and implement advanced control strategies, including PID, model predictive control, and other control algorithms. * Monitor and analyze control system performance and process data. * Identify ...

Covestro

Senior APC Engineer

Baytown, TX

$95.10K - $130.70K/yr

Identifyand initiate projects in the fields ofexpertise(Dynamic Modeling, Operator Training Simulators, Advanced Control and Model Predictive Control as well as multivariate data analysis)

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$55K

$96.6K

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How much do model predictive control jobs pay per year?

As of Jun 1, 2026, the average yearly pay for model predictive control in the United States is $96,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Predictive Control (MPC) 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 the typical challenges faced by engineers working with Model Predictive Control (MPC) 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 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.

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What states have the most Model Predictive Control jobs? States with the most job openings for Model Predictive Control jobs include:
What job categories do people searching Model Predictive Control jobs look for? The top searched job categories for Model Predictive Control jobs are:
Model Predictive Control jobs near you
Advanced Process Control Engineer

Advanced Process Control Engineer

Linde Group

Tonawanda, NY • On-site

Other

Posted 21 days ago

Job description

  • In this role you will support the development, implementation, and maintenance of advanced process control applications in air separation, carbon dioxide, and hydrogen production facilities
  • Collaborate with senior APC engineers, Regional Optimization Center, and operations teams to enhance process stability, energy efficiency, and plant performance
  • You will assist in controller performance monitoring, plant data analysis, model updates, and troubleshooting of APC applications
  • Gain exposure to industrial model predictive control, fuzzy logic control, and real-time optimization technologies
  • Contribute to productivity and optimization initiatives

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