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Model Predictive Control Jobs in Texas (NOW HIRING)

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

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 ...

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.

AVEVA

Services Principal Consultant

Houston, TX · On-site

$124K - $207K/yr

Understanding of Model Predictive Control (MPC) concepts and exposure to MPC solutions from multiple vendors. * Strong analytical and problem-solving skills, particularly in refining, oil & gas, and ...

Aveva

Services Principal Consultant

Houston, TX · Hybrid

$124K - $207K/yr

Understanding of Model Predictive Control (MPC) concepts and exposure to MPC solutions from multiple vendors. * Strong analytical and problem-solving skills, particularly in refining, oil & gas, and ...

Bah

University - Human Spaceflight Engineer

Houston, TX

$52K - $108K/yr

Experience developing Graph Neural Networks and Model Predictive Control frameworks * Experience applying frameworks to physics-based, integrated systems * Scheduled to obtain a Bachelor's degree in ...

Bah

University, Human Spaceflight Engineer

Houston, TX

$52K - $108K/yr

Experience developing Graph Neural Networks and Model Predictive Control frameworks * Experience applying frameworks to physics-based, integrated systems * Scheduled to obtain a Bachelor's degree in ...

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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 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 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.

Predictive Analytics Engineer

Dallas, TX • On-site

Select Minds LLC
IT Services • 51 - 200 employees
Learn more about Select Minds LLCexternal

$100K - $120K/yr

Full-time

Re-posted 14 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Data Scientist / Predictive Analytics Engineer
Location: Dallas, TX (Hybrid, 3 days onsite per week)
Employment Type: Full-Time / Contract (W2)
Duration: Long-Term
Work Authorization: Open to candidates authorized to work in the U.S.
Interview Process: Video Interview followed by Client Interview
We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.
The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.
will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.
Key Responsibilities
* Collect, clean, and integrate structured and unstructured data from multiple sources.
* Build, train, validate, and deploy machine learning models for predictive analytics.
* Design and execute A/B testing and statistical experiments to optimize products and business processes.
* Develop automated dashboards and reports to monitor KPIs and business performance.
* Perform exploratory data analysis to identify trends, patterns, and opportunities.
* Present analytical findings and recommendations to technical and non-technical stakeholders.
* Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
* Optimize existing data science workflows and improve model performance.
* Ensure data quality, governance, and best practices throughout the analytics lifecycle.

Required Skills
* 2+ years of professional experience as a Data Scientist.
* Strong programming skills in Python or R.
* Advanced SQL skills with experience querying complex relational databases.
* Hands-on experience with machine learning frameworks such as:
    * Scikit-Learn     * TensorFlow    * PyTorch
* Experience with statistical modeling, predictive analytics, and feature engineering.
* Strong understanding of:
    * Regression Analysis    * Hypothesis Testing    * Probability & Statistics
* Experience with data visualization tools such as:
    * Tableau   * Power BI   * Matplotlib
* Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Knowledge of data pipelines, ETL processes, and big data technologies.
* Experience with MLOps, model deployment, and monitoring is a plus.
* Familiarity with version control systems such as Git.
Education
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.
Why Join Us?
* Work on impactful machine learning and AI initiatives.
* Hybrid work environment in Dallas, TX.
* Collaborative, data-driven culture.
* Opportunity to work with modern analytics and cloud technologies.
* Competitive compensation and career growth opportunities.

Flexible work from home options available.