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Model Predictive Control Jobs in Alabama (NOW HIRING)

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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 Alabama?

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

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

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

Infographic showing various Model Predictive Control job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Electrical Project Engineer

Foley, AL • On-site

System One
Business Consulting Services • 5 - 10K employees

$50 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Job description

Job Title: Senior Electrical Project Engineer Location: Foley, AL Type: Contract To Hire Compensation: $50.00 - $60.00 Work Model: Onsite – onsite

Responsibilities

  • Lead electrical projects from concept and scope development through detailed design, construction, startup, and commissioning.
  • Design and review MV/LV distribution, substations, transformers, switchgear, MCCs, large motors, VFD/DC drives, and high-current bus systems.
  • Produce and review AutoCAD-based industrial installation packages, including single-lines, layouts, conduit/tray plans, grounding, lighting, controls, and interconnections.
  • Support PLC automation, instrumentation, process control, and industrial communications.
  • Coordinate system studies including load flow, short circuit, protection coordination, and arc flash.
  • Lead and mentor junior engineers/designers while coordinating with clients, contractors, OEMs, vendors, and multidisciplinary teams.
  • Provide practical field engineering, commissioning, and troubleshooting support in operating industrial facilities.

Requirements

  • Associate’s degree in Electrical Engineering, Electrical Engineering Technology, or related technical discipline; Bachelor’s preferred.
  • 7–10+ years of heavy industrial electrical engineering/design/construction experience.
  • Strong AutoCAD skills and proven ability to develop detailed electrical installation packages.
  • Experience with industrial power distribution, motors, MCCs, VFDs/DC drives, automation, instrumentation, and process control.
  • Strong leadership, communication, troubleshooting, and project-execution skills.
  • Working knowledge of NEC, NFPA 70E, IEEE, IEC, and OSHA requirements.
  • Highly Valued Experience: Steel mills, rolling mills, finishing lines, melt shops, or metals processing; Medium/high-voltage systems and substations up to 138 kV; EPC/design-build industrial capital projects; Journeyman Electrician or comparable hands-on industrial electrical field experience; Predictive maintenance, power quality, infrared, or motor-testing experience.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI- Ref: #192-Precision San Antonio


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US