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Model Predictive Control Jobs in Minnesota (NOW HIRING)

Experience with advanced process control and model predictive control. * Ten or more years of related experience. * Experience with DCS controls systems such as DeltaV, D3, ControlLogix PlantPAx, ABB ...

Experience with advanced process control and model predictive control. * Ten or more years of related experience. * Experience with DCS controls systems such as DeltaV, D3, ControlLogix PlantPAx, ABB ...

Experience with advanced process control and model predictive control. * Ten or more years of related experience. * Experience with DCS controlssystems such as DeltaV, D3, ControlLogix PlantPAx, ABB ...

... model - building and deploying the AI/ML models and automation logic that drive predictive ... control, and rollback readiness. * Drive and implement the concept of "L0" across Service ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

... quality control processes to ensure highest quality. * Provide end-to-end analytics support ... Experience building and using AI/ML models, predictive analytics or statistical modeling to solve ...

... quality control processes to ensure highest quality. * Provide end-to-end analytics support ... Experience building and using AI/ML models, predictive analytics or statistical modeling to solve ...

... predictive modeling, and intelligent monitoring across large, complex healthcare and operational ... Develop and maintain CI/CD workflows for data science solutions, including source control ...

New

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

... quality control processes to ensure highest quality. * Provide end-to-end analytics support ... Experience building and using AI/ML models, predictive analytics or statistical modeling to solve ...

... quality control processes to ensure highest quality. * Provide end-to-end analytics support ... Experience building and using AI/ML models, predictive analytics or statistical modeling to solve ...

... predictive modeling. Proficiency in at least one programming language commonly used for data ... Experience using source control and collaborative software development practices. Experience ...

New

Data Engineer

Chisago City, MN · On-site

$103K - $124K/yr

... predictive maintenance. Working closely with IoT Systems Engineering and Service teams, you'll help ... Design and maintain database schemas, asset models, and retention strategies. * Implement scalable ...

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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 Minnesota?

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

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

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

Infographic showing various Model Predictive Control job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Process Controls Engineer

Cargill

Wayzata, MN • On-site

$120K - $150K/yr

Full-time

Re-posted 8 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

19th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

The Senior Process Controls Engineer will work within the Cargill Process Innovation team to develop process control strategies for Cargill manufacturing. This role will partner with teams in Smart Manufacturing and Cargill manufacturing and apply expertise in advanced process controls and data analytics to improve safety, sustainability, and efficiency across the Food enterprise.

Key Accountabilities
  • Develop and design advanced process controls strategies across Cargill plants.
  • Collaborate with process simulation and manufacturing analytics teams to create process control strategies for new and existing Cargill processes.
  • Collaborate with the North American regional Smart Manufacturing teams and manufacturing sites on high-value, high-priority process controls projects.
  • Collaborate with regional and global teams to deliver scalable impact through process controls.
  • Estimate project scope, level of effort, and value for controls projects.
  • Provide process controls and other engineering expertise within projects related to yield improvement, energy efficiency, throughput, down-time reduction, product quality and variable cost reduction.
  • Identify new opportunities for process improvements by analyzing production data and developing process controls strategies aligned with business objectives that can be scaled quickly over multiple facilities.
  • Communicate effectively across a variety of stakeholders including R&D, Smart Manufacturing, plant operations, and business leaders. Ability to influence without direct authority.
  • Develop new capabilities in process controls and bring awareness of state-of-the-art technology to Cargill. 
  • Enable business results from process control efforts.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned.

This Position could work from one of the following Cargill locations: Wayzata, MN is preferred; Eddyville, IA; or Blair, NE.

Qualifications
MINIMUM QUALIFICATIONS
  • Bachelor's degree in a related field or equivalent experience.
  • Possesses comprehensive knowledge of processes and controls.
  • Minimum of four years of related work experience.
  • Ability to travel up to 30% of the time.
  PREFERRED QUALIFICATIONS
  • Experience with advanced process control and model predictive control.
  • Ten or more years of related experience.
  • Experience with DCS controls systems such as DeltaV, D3, ControlLogix PlantPAx, ABB DCS, etc.
  • Experience with controls in food and beverage manufacturing
  • Experience with utility systems: boilers, cogeneration, cooling water systems
  • Proven experience working in an agile environment
  • Master's and/or PhD degree
Compensation Data

The expected salary for this position is $120,000-$150,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

#LI-HS1 #themuse#fbg

Equal Opportunity Employer, including Disability/Vet.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US