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Model Predictive Control Jobs in Texas (NOW HIRING)

SoFi

Fraud Model Analyst

Frisco, TX · On-site

Experience working with fraud or predictive model performance metrics such as fraud capture rate ... control/treatment groups, champion/challenger tests, backtests, or similar experiments.

SoFi

Fraud Model Analyst

Frisco, TX · On-site

Experience working with fraud or predictive model performance metrics such as fraud capture rate ... control/treatment groups, champion/challenger tests, backtests, or similar experiments.

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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.

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

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Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 4% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

2027 Electrical Engineer Intern / Co-op

Corpus Christi, TX

LyondellBasell
Chemical Manufacturing • 10K+ employees
Learn more about LyondellBasellexternal

$18.25 - $24/hr

Internship

Posted 15 days ago

LyondellBasell rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

Job description

Electrical Engineer Co-op/Intern 

Are you an aspiring electrical engineer eager to gain real-world experience in a leading global company? Do you thrive in a dynamic team environment where innovation is encouraged and your ideas can make a difference? If so, LyondellBasell invites you to join our team! 

Why You'll Love This Role: 

As Electrical Engineer a Co-op/Intern, you'll have the opportunity to work on challenging and impactful projects that contribute to the efficiency and reliability of our operations. Whether you're developing advanced control schemes, troubleshooting high-voltage systems, or improving process instrumentation, your work will be vital to our success. 

What You Can Expect: 

Explore diverse opportunities across various engineering disciplines, allowing you to find the perfect fit for your skills and interests: 

Control System Engineer: 

  • Develop, optimize, and troubleshoot control schemes that drive our processes. 

  • Create and refine process models for predictive control systems. 

Instrument & Electrical Engineering: 

  • Troubleshoot, engineer, and improve process measurement instrumentation, control systems, safety systems, and analyzers. 

  • Provide daily technical support for instrumentation and electrical (I&E) or control systems. 

High Voltage Engineer: 

  • Collaborate with electrical technicians to troubleshoot problems and perform equipment repairs. 

  • Continuously evaluate the electrical system and plan for expansion and reliability improvements. 

What We Offer: 

  • Hands-on experience with real-world projects in a leading global company. 

  • Mentorship and guidance from experienced professionals. 

  • A collaborative and innovative work environment. 

Qualifications We're Looking For: 

  • Currently pursuing a Bachelor's degree in Electrical Engineering or an equivalent degree from an accredited university. 

  • Overall GPA of 3.0 or greater. 

  • Must be at least 18 years of age. 

  • Must be legally authorized to work in the United States without requiring sponsorship for employment visa status. 

If you're ready to apply your skills and passion for electrical engineering in a dynamic and supportive environment, we want to hear from you. 

 

About LyondellBasell: 

LyondellBasell is a leader in the global chemical industry, creating solutions for everyday sustainable living. Through advanced technology and focused investments, we are enabling a circular and low-carbon economy. As one of the world's largest producers of polymers and a leader in polyolefin technologies, we develop, manufacture, and market high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. 

Equal Opportunity Employer: 

LyondellBasell is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. 

Ready to embark on an exciting journey with us? Apply now and help shape the future of sustainable living! 

For more information, visit www.lyondellbasell.com or follow us on LinkedIn @LyondellBasell. 

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