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Model Predictive Control Jobs in Illinois (NOW HIRING)

Mondelez International

Reliability Engineer

Chicago, IL · On-site

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL · On-site

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using ... control, testing, and review practices Desired skills: Ability to work as part of a team and to ...

Mondelez International

Reliability Engineer

Chicago, IL

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

Mondelez International

Reliability Engineer

Chicago, IL · On-site

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

Mondelez International

Reliability Engineer

Chicago, IL · On-site

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

SonSoft

Data Scientist (No H1B)

Chicago, IL · On-site

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using ... control, testing, and review practices Desired skills: Ability to work as part of a team and to ...

Unite Here Health

Director of Analytics

Oak Brook, IL · On-site

... control groups, savings attribution methodologies, ongoing performance tracking. * Establish a standardized ROI and impact measurement model across all initiatives. * Build and deploy predictive ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

Chime Financial, Inc

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Build predictive models using large-scale financial, transactional, and behavioral datasets to ... Through our user-friendly tools and intuitive platforms, we empower our members to take control of ...

Formic

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Design and implement preventative and predictive strategies that improve system reliability * Lead ...

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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 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 (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 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 popular job titles related to Model Predictive Control jobs in Illinois? For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Illinois look for? The top searched job categories for Model Predictive Control jobs in Illinois are:
What cities in Illinois are hiring for Model Predictive Control jobs? Cities in Illinois with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Principal Engineer, R&D - Controls & Automation

Principal Engineer, R&D - Controls & Automation

Kraft Heinz Company

Glenview, IL • On-site

$104K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Kraft Heinz rating

7.0

Company rating: 7.0 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

198th of 389 rated food and drinks producers

Job description


Job Purpose
As a Principal Engineer, you will lead the design, development, and deployment of next-generation automation and digital solutions, from R&D pilot lines to full-scale factories. This role combines expertise in automation, robotics, process control engineering, smart sensors and advanced diagnostic tools, and digital transformation to deliver full-scale automated processes and advanced process control. You will work closely with cross-functional teams to implement Automation and Digital Solutions that enhance operational efficiency, product and package quality, and sustainability.
Essential Functions & Responsibilities
  • Architect and standardize automation and control systems in support of a smart pilot plant.

  • Manage the research, evaluation and implementation of smart sensors, measurement technology, imaging systems and data acquisition to facilitate the design, development and manufacture of innovative new process and packaging systems.

  • Explore IoT sensors for real-time monitoring and pilot high-impact tools in controlled environments (e.g. predictive modeling and machine learning for packaging and process optimization).

  • Develop, validate, and deploy full-scale automated processes and automation concepts.

  • Support the development of digital twins and simulation models for process and packaging systems.

  • Deliver and develop advanced process control and predictive analytics.

  • Develop and deploy physical AI and robotic solutions for manufacturing optimization.

  • Collaborate with engineering and production teams to embed intelligence into manufacturing workflows.

  • Ensure compliance with food safety, cybersecurity, and data governance standards.

Expected Experience & Required Skills
  • Bachelor's degree in Electrical, Automation, Controls, Mechatronics, or related field required; Masters in Science preferred

  • 6-8 years in automation/controls with multi-site or pilot-to-plant experience

  • Proven track record in Industry 4.0, digital twin/discrete event simulation and machine learning/advanced process control deployments

  • Strong knowledge of industrial communications and OT/IT integration

  • Demonstrated knowledge of implementing smart sensors and in-line, advanced diagnostic measurement tools

  • Experience with food processing and CPG packaging systems

Work Environment & Schedule
This position is considered aNormal office environment with moderate travel to customer locations, stores, manufacturing facilities, etc.; offices are open workspaces
Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz' strategy and values.
New Hire Base Salary Range:
$104,200.00 - $130,200.00
Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors
Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family's needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You'll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
  • Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
  • Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
  • Emotional - Employee Assistance Program , Wellbeing Programs, Family Support Programs
  • Financial - 401k, Life, Accidental Death & Dismemberment, Disability

Location(s)
Glenview R&D Center
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact NAZTAOps@kraftheinz.com for assistance.

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