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Model Predictive Control Jobs in Louisiana (NOW HIRING)

APC Optimization Team Lead

Lake Charles, LA · On-site

$94K - $123K/yr

... as PID and model predictive control. • Collaborative work with cross-functional teams. • Ensuring compliance with industry safety and process control standards. • Regular auditing and ...

Complete minor updates to power system models. * Review and authorize work permits; development of ... Control system knowledge. Experience with Rockwell, GE, or ABB PLC's and/or Delta-V, ABB 800xA, or ...

Complete minor updates to power system models. * Review and authorize work permits; development of ... Control system knowledge. Experience with Rockwell, GE, or ABB PLC's and/or Delta-V, ABB 800xA, or ...

Indirect Sales Manager

Arabi, LA · On-site

$56K - $81K/yr

... models and new ways of thinking. Equipped with a passion for change and the power to drive it, we ... Quality control of brand standards and compliance through consistent field coaching, ride-alongs ...

Indirect Sales Manager

Arabi, LA · On-site

$56K - $81K/yr

... models and new ways of thinking. Equipped with a passion for change and the power to drive it, we ... Quality control of brand standards and compliance through consistent field coaching, ride-alongs ...

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 Louisiana? For Model Predictive Control jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Louisiana look for? The top searched job categories for Model Predictive Control jobs in Louisiana are:
What cities in Louisiana are hiring for Model Predictive Control jobs? Cities in Louisiana with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Louisiana as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 7% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

APC Optimization Team Lead

Sasol

Lake Charles, LA • On-site

$94K - $123K/yr

Full-time

Posted 17 days ago


Job description

A job at Sasol is a career made by you, with purpose, development opportunities, benefits to support every stage of life and a working culture that embraces flexibility, diversity, and inclusion. Learn more.
Purpose of Job
The APC Optimization Lead is responsible for oversight of the Advance Process Control team with responsibilities for the design, implementation, and maintenance of Advanced Process Control (APC) applications. This includes developing and executing plans for improving existing applications and implementing new APC. The key objective is optimization of unit processes while driving continuous improvement in both the performance of existing APC applications and growth of site's APC footprint. This role is also responsible for the Alarm Management program and capabilities to achieve industry best practice standards in alarm performance.
Key Accountabilities
• Manages the Advanced Process Control team to achieve all key performance targets. • Develop and maintain best practices for advanced process control and unit optimization. • Drive continuous improvement in use of multi-variable control and technological advancements. • Implements long-term strategies for Alarm Management to meet ISA 18.2 alarm performance targets. • Ensure compliance to all related process safety management requirements. • Serve as a conduit for continuous improvements to the business reducing fixed and variable costs using advanced process control methods. • Interfaces with global resource teams determining solutions or improvements to work methods and / or initiatives. • Provides guidance and assistance in technical matters to engineers and automation personnel. • Develops training plans and strategies to improve overall knowledge of the APC engineers. • Reviews and evaluates performance for departmental employees. • Challenges employees to seek self-improvement through training and individual developmental programs.
Formal Education
  • University Bachelors Degree in Chemical Engineering

Working Experience
  • 15+ years total engineering experience
  • 8+ years experience in process controls
  • 5+ years of supervisory experience

Required Personal/Professional Skills
• Experience in Chemical or Refining processes required. • Experience with major DCS systems like Honeywell or Emerson. Knowledge of PLCs from vendors like Allen Bradley or Siemens. • Direct involvement in APC strategy design and implementation. • Proficiency in process simulation tools like Aspen Plus or HYSYS. • Application of control theories, such as PID and model predictive control. • Collaborative work with cross-functional teams. • Ensuring compliance with industry safety and process control standards. • Regular auditing and optimization of APC systems. • Training and mentoring roles in APC strategies and systems. • Analytical & Problem-Solving: Ability to dissect complex issues and devise effective solutions. • Technical Proficiency: Mastery in control theories, DCS systems, and PLCs. • Communication & Collaboration: Skilled in explaining intricate concepts and working with diverse teams. Ability to drive team performance. Good interpersonal skills and communication skills. • Adaptability & Continuous Learning: Staying updated with evolving technologies and adjusting to changing project needs. • Safety & Compliance: Ensuring strategies align with industry safety standards and best practices.
Sasol (USA) Corporation is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to race, color, religion, creed, age, sex, sexual orientation, gender identity, pregnancy, national origin, disability or protected veteran status, as well as any other characteristic protected by applicable law, regulation or local ordinance. For more information about your rights under the law, see http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf
Sasol treats work-authorized job applicants equally in recruiting and hiring without regard to their citizenship status or national origin unless required by law, regulation, executive order, government contract, or determination by the Attorney General. Please note Sasol will not sponsor, obtain, and/or petition for temporary visa status (for example, E, F-1, H-1, H-2, L, B, J, or TN) for candidates for this position and/or personnel hired for this position.