ZipRecruiter

Log In

1

Model Predictive Control Jobs in Texas (NOW HIRING)

Oxy

AI Optimization Engineer

Houston, TX · On-site

... Model Predictive Control (MPC), and adaptive control. • Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE) • ...

Delek US

Staff Process Controls Engineer

Tyler, TX · On-site

Development, design, and commissioning of MPC (Model Predictive Control) applications and provide support for existing APC and/or Real-Time Optimizer applications * Act as technical lead for all unit ...

Delek US

Staff Process Controls Engineer

Tyler, TX · On-site

$78K - $101K/yr

Development, design, and commissioning of MPC (Model Predictive Control) applications and provide support for existing APC and/or Real-Time Optimizer applications * Act as technical lead for all unit ...

Clera

Senior Robotics Engineer

Austin, TX · On-site

$150 - $250/hr

Develop high-bandwidth control loops and advanced control algorithms (e.g., PID, model-predictive, adaptive control) to ensure vehicle stability and precise high-speed maneuvers under dynamic load.

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX ... model deployment, and monitoring is a plus. * Familiarity with version control systems such as Git.

Oxy

AI Optimization Engineer

Houston, TX · On-site

Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control. * Knowledgeable in system identification and state estimation methods ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control. * Knowledgeable in system identification and state estimation methods ...

Base Power Company

Algorithms Engineer

Austin, TX · On-site

Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing. * A data-driven ...

previous pagenext page

Showing results 21-40

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Texas

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 Texas?

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

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

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

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

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

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 100% Full Time. Highlights an 100% In-person job distribution.

AI Optimization Engineer

Oxy

Houston, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Oxy is a company that produces, markets, and transports oil and natural gas, focusing on lower-carbon technologies. They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence.
Responsibilities:
• Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
• Collaborate with subject matter experts to select the relevant sources of information and formulate the right questions and problems.
• Identify what data is available and relevant, leveraging and creating data input and output pipelines and application programming interfaces (APIs).
• Provide feasible and real-life practical solutions, and demonstrate the scientific qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
• Present and depict the rationale of findings in easy-to-understand terms for the business.
• Present back results that contradict common belief, if needed.
Qualifications:
Required:
• Master’s degree in Engineering, Applied Mathematics, or a related field.
• Strong knowledge of optimization methods, including dynamic, parametric, and non-parametric approaches
• Experience in dynamic and/or static system modeling.
• Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control.
• Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE)
• Knowledgeable in machine learning concepts and their application to modeling, optimization, or control problems
• Proficient in Python
• Experience with Git version control
• Possession of excellent oral and written communication skills.
• Effective team player who takes an active role in team responsibilities.
• Strong time management skills.
• Ability to work with minimum of supervision.
Preferred:
• Knowledge of the oil and gas industry.
• Familiarity with AWS or similar cloud platforms.
• Familiarity with Docker for containerization and Kubernetes for orchestration.
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

View All Oxy Jobs

Apply