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Model Predictive Control Jobs in Colorado (NOW HIRING)

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO

$106K - $146K/yr

Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO

$103K - $141K/yr

Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...

HNTB

Construction Automation Team Lead

Denver, CO · On-site

$97K - $128K/yr

... model analytics, computer vision, generative AI, predictive analytics, and intelligent automation ... control systems, mixed reality workflows, augmented reality visualization, and field layout ...

asrcfh

Senior Software Engineer

Aurora, CO · Hybrid

$124K - $164K/yr

Direct programmatic or design experience interfacing with OS/COMET ® command & control ... modeling tools, predictive anomaly pipelines) into traditional Java/C++ enterprise backends.

asrcfh

Senior Software Engineer

Aurora, CO · Hybrid

$124K - $164K/yr

Direct programmatic or design experience interfacing with OS/COMET ® command & control ... modeling tools, predictive anomaly pipelines) into traditional Java/C++ enterprise backends.

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Colorado

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 Colorado? For Model Predictive Control jobs in Colorado, the most frequently searched job titles are:
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What cities in Colorado are hiring for Model Predictive Control jobs? Cities in Colorado with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Colorado as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution.
Data Scientist (2-5 years experience)

Data Scientist (2-5 years experience)

Datalab USA

Westminster, CO • On-site

$80K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

DataLab USA™ is an analytics and technology driven database marketing consultancy. We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies. Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure.
We have placed in the INC 5000 list of fastest growing private companies for six times in the last ten years. At its heart, DataLab USA™ has the entrepreneurial spirit of a start-up. We judge ourselves on our ability to innovate, drive efficiency and deliver excellence for our clients.
**No Sponsorship offered for this position**
**Candidate must be local to Westminster, CO**
Key Responsibilities:
Build, implement and maintain predictive models through their full lifecycle.
• Identify patterns & trends in data, and provides insights to enhance business decision making.
• Identify challenges and opportunities from client strategy discussions and taking ownership of solution.
• Set up and monitor monthly model recalibration process.
• Generate complex ad-hoc analyses combining disparate concepts or creating new approaches.
• Design and create new analytic procedures & automation.
• Review corporate model scoring QC.
• Review corporate data transformation QC.
Required Skills and Qualifications
• MS/PHD in a quantitative discipline or BS in a quantitative discipline with commensurate experience
• Regular SQL use for querying data
• Experience programming with at least one language
• Use of statistical software (e.g., R, Python)
• Experience with Tableau (or other data visualization platform)
• Experience with Excel
• Financial or insurance industry experience strongly preferred
• 2-5 years of Database Marketing and Data Mining experience
$80,000 - $125,000 a year
The base pay range provided serves as a general guideline. The final annual salary offered to the selected candidate will vary based on factors such as qualifications, skill level, competencies, the scope and responsibilities of the role
We are proud to offer a comprehensive benefits package designed to support the well-being and financial security of our employees. Our benefits include:
Health, Dental, and Vision Plans: Comprehensive coverage to meet your healthcare needs.
Employee Assistance Program (EAP): Resources and support for personal and professional challenges.
401(k) Retirement Savings Plan: Includes option for Traditional or Roth IRA to help you plan for your future.
Paid Time Off: Enjoy paid vacation and sick leave to maintain work-life balance.
Company Holidays: Nine paid company holidays throughout the year.
DataLab USA™ is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
All offers of employment are contingent on passing a background check and drug test.
Privacy Policy - DataLab USA™ | Targeting Better Results
This job posting will remain un Jun 26th 2026

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