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Model Predictive Control Jobs in Denver, CO (NOW HIRING)

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance ... models for applications such as object detection, signal processing, predictive analytics, and ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO

$99K - $136K/yr

Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance ... models for applications such as object detection, signal processing, predictive analytics, and ...

Leiters Inc

Reliability Engineer II

Englewood, CO · On-site

$98K - $122K/yr

The role is responsible for overseeing management of the preventative and predictive maintenance of ... Statistical process control * Reliability modeling and prediction * Root cause analysis (RCA) and ...

Apply Early

EchoStar

Senior AI/ML Architect

Littleton, CO · On-site

$154K - $208K/yr

... predictive maintenance, fraud detection) * Build realtime data processing frameworks to support ... Establish governance and best practices for model lifecycle management, version control ...

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 ...

EchoStar

Senior AI/ML Architect

Littleton, CO · On-site

$177K - $240K/yr

... predictive maintenance, fraud detection) * Build realtime data processing frameworks to support ... Establish governance and best practices for model lifecycle management, version control ...

Trimble

Export Compliance Program Manager

Westminster, CO · On-site

$105K - $145K/yr

S. export control regulations, including EAR, ITAR, and OFAC sanctions. Proven track record in ... Translates complex raw data into actionable insights, visual reports, and predictive models that ...

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 Denver, CO

Model Predictive Control information

See Denver, CO salary details

$56.6K

$99.4K

$134.8K

How much do model predictive control jobs pay per year?

As of Jul 7, 2026, the average yearly pay for model predictive control in Denver, CO is $99,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $111,200.00 per year, depending on experience, location, and employer.

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 Denver, CO? For Model Predictive Control jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Denver, CO look for? The top searched job categories for Model Predictive Control jobs in Denver, CO are:
What cities near Denver, CO are hiring for Model Predictive Control jobs? Cities near Denver, CO with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Denver, CO as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,401 per year, or $47.8 per hour.
AI/ML Engineer II

AI/ML Engineer II

Sierra Nevada Corporation

Lone Tree, CO • On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

17th of 60 rated aerospace companies

Job description

The AI/ML Engineer II is a mid-level position for individuals with professional experience in designing and implementing machine learning algorithms. In this role, you will independently develop and deploy AI/ML solutions to address complex challenges, such as autonomous systems, predictive maintenance, and computer vision. You will take ownership of specific projects, perform data analysis, and optimize models for performance and scalability. This position requires a combination of technical expertise, problem-solving skills, and the ability to collaborate with multidisciplinary teams to meet mission-critical objectives.
The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.
Responsibilities:
  • Design, implement, and optimize machine learning models for applications such as object detection, signal processing, predictive analytics, and decision-making systems.
  • Develop and maintain data pipelines for collecting, preprocessing, and managing large-scale datasets. Identify data gaps and propose solutions to improve data quality.
  • Conduct performance testing and validation of AI/ML models using rigorous evaluation metrics. Optimize models for accuracy, efficiency, and scalability.
  • Write and deploy efficient, modular code to integrate AI/ML models into operational systems, ensuring reliability and compatibility with existing platforms.
  • Test AI/ML solutions in simulated environments to evaluate performance under real-world conditions. Contribute to system-level debugging and troubleshooting.
  • Collaborate with hardware engineers, software developers, and systems architects to align AI/ML solutions with mission-critical requirements.
  • Document technical designs, workflows, and testing procedures for internal and external use. Share findings and best practices with team members.
  • Explore and integrate emerging AI/ML frameworks, tools, and methodologies to enhance system capabilities and address new challenges.
  • Train, evaluate, and optimize standard AI models (ANNs, CNNs, RNNs) for supervised and unsupervised tasks.
  • Implement and test basic reinforcement learning algorithms and generative models under supervision.
  • Develop and integrate signal processing and computer vision modules to enhance perception and decision-making capabilities.
  • Conduct simulations and performance profiling of AI/ML models on CPU/GPU architectures, identifying bottlenecks.
  • Execute validation and verification procedures, analyze test results, and support system compliance with safety and reliability standards.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 2+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 6 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Practical experience using machine learning frameworks (e.g., TensorFlow, PyTorch) and applying core AI/ML techniques, including supervised, unsupervised, and introductory reinforcement learning methods.
  • Hands-on experience implementing and evaluating ANNs, CNNs, and RNNs in small-scale or pilot projects. Assisted with deploying machine learning models in production or research environments.
  • Proficiency in programming languages such as Python, C++, C# or Java.
  • Strong understanding of supervised and unsupervised learning techniques.
  • Experience deploying AI/ML solutions in production environments.

Qualifications We Prefer:
  • Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers).
  • Working knowledge of Agile or DevOps practices in software/ML project environments.
  • Hands-on experience with at least one advanced ML technique (e.g., clustering or dimensionality reduction) in coursework or projects.
  • Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.
  • Exposure to generative models (e.g., GANs, Transformers) or reinforcement learning frameworks.
  • Experience analyzing and processing diverse datasets to extract insights.
  • Familiarity with requirements gathering and basic deployment of ML systems.
  • Awareness of hardware acceleration tools and edge AI concepts.

Essential Functions:
  • Work extensively on a computer for coding, debugging, and integrating AI/ML systems.
  • Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%).
  • Ability to work in a hybrid environment and manage multiple tasks effectively.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $108,496.89 - $149,183.22. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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