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Model Predictive Control Jobs in Utah (NOW HIRING)

Develop and implement industrial-grade process control, including model predictive controls and human-machine interfaces, for highly integrated prototype and commercial processes (optional, but ...

Develop and implement industrial-grade process control, including model predictive controls and human-machine interfaces, for highly integrated prototype and commercial processes (optional, but ...

Develop and implement industrial-grade process control, including model predictive controls and human-machine interfaces, for highly integrated prototype and commercial processes (optional, but ...

... predictive modeling, and advanced analytics tools tailored to solve business problems • ... testing, and version control Preferred : • Advanced degree in Data Science, Statistics ...

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ... version control Desired: * Advanced degree in Data Science, Statistics, Mathematics, Computer ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ... version control Desired: * Advanced degree in Data Science, Statistics, Mathematics, Computer ...

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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 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 Utah? For Model Predictive Control jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Utah look for? The top searched job categories for Model Predictive Control jobs in Utah are:
What cities in Utah are hiring for Model Predictive Control jobs? Cities in Utah with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Utah as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution.
Process Engineer

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Chart Industries rating

7.5

Company rating: 7.5 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

224th of 430 rated machine equipment manufacturers


Job description

Ensuring Chart's Success...

"Cooler By Design" - Chart's core business is centered around the design and fabrication of cryogenic equipment; so you can see where we get our tagline from, right? Well, yes and no - see, we think the products we design and build are pretty cool too. Also, we're problem solvers. Customers don't come to Chart with an equipment specification, they come to Chart with a challenge. That's where you come in, because someone has to figure it out - all the way from conceptual design to installation and commissioning of equipment on-site. Chart's mission is to provide full solutions across the Nexus of Clean - clean power, clean water, clean food, and clean industrials. The diverse applications we service echo our commitment to sustainability - from providing full hydrogen solutions across the value chain, offering small and industrial scale carbon capture solutions to customers globally, creating water treatment systems responsible for treating 4.5 billion gallons of water per day in the U.S. and delivering clean water to over a billion people worldwide, providing equipment and solutions for mission critical space launches, decarbonizing the marine industry, and electrifying the mining space. Chart even contributes to the food and beverage industry by making some of your favorite carbonated beverages possible - If nitro coffee or nitro ice cream is your thing - well, that's Chart technology too (and it's also cool)!

We are looking to add a Process Engineer to our team in Orem, UT. We would consider candidates who are able to work out of our office across the US, including Allentown, PA, Lacrosse, WI, Orem, UT or The Woodlands, TX.

The Process Engineer begins to take direct engineering responsibility for the conceptual design of Chart process technologies to meet customer requirements.  This person must work well within a small team environment while preparing process information deliverables for the basic engineering design package. This position requires someone who is comfortable operating autonomously with open-ended tasks. You will have the opportunity to interact with every part of the technology development from design of new and novel equipment and experiments to detailed large-scale equipment design, sourcing, and operation. It is intellectually engaging work on complex, unique, and novel problems.

What Will You Do?
  • Support process development for the innovative Cryogenic Carbon Capture technology through Aspen Plus, Aspen HYSYS, and Aspen EDR
  • Simulate steady-state and transient/dynamic processes to describe performance and generate heat and material balances
  • Work with clients and other engineers to develop feasibility, preFEED, and FEED studies to design Cryogenic Carbon Capture plants
  • Prepare process equipment data sheets and equipment lists
  • Prepare Process Flow Diagrams
  • Assist in the development of Piping and Instrumentation Diagrams
  • Assist in the development of wiring and loop drawings and control system architectural drawings for internal research and development work
  • Provide process data to mechanical engineering counterparts and key vendors for equipment sourcing
  • Check process engineering work performed by other Process and Process I Engineers
  • Assist in the preparation of Start-up and Operating Manuals
  • Participate in experimental work and prototype operation
  • Some travel - 10% or less
  • Develop and implement industrial-grade process control, including model predictive controls and human-machine interfaces, for highly integrated prototype and commercial processes (optional, but preferred)
Your Physical Work Environment Will Require...


The ability to frequently sit for extended periods of time, stand, walk, use hands and fingers, handle or feel, and reach with hands and arms. This position is occasionally required to sit, climb, balance, kneel, crouch, or crawl. Lifting of 50 pounds may be required. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Duties include lengthy visual requirements on computer monitors.

Your Experience Should Be...
  • Working knowledge of ASPEN Plus/HYSYS and/or similar process simulation software, including dynamics simulation
  • Knowledge of chemical engineering first principles, especially thermodynamics and heat/mass transfer and ability to apply those principles to real-world systems
  • Proven teamwork skills
  • Sound organizational skills for completing tasks as scheduled
  • Strong communication skills both verbal and written for the purpose of explaining challenges and solutions internally, and presenting externally
  • Good interpersonal skills to successfully interface other engineering disciplines and customers

We prefer candidates that also have the following:

  • 3 to 7 years of process engineering experience (or educational equivalent)
  • Computer programming expertise in one or several of C++, C#, Java/JavaScript, or Python
  • Knowledge of cryogenic process technologies which can include cryogenic air separation, natural gas liquefaction, hydrogen liquefaction, helium processing and liquefaction, etc.
  • Knowledgeable in natural gas processing technologies
  • Some experience and interest in control system and human machine interface software
  • Understands basic applicable engineering/electrical/safety codes
Our Benefits Package...
  • Medical, dental and vision insurance
  • Employer contributions to an HSA account
  • Health Care and Dependent Care Flexible Spending Accounts (FSA)
  • Company-paid short-term and long-term disability coverage
  • Basic life insurance with the option to purchase supplemental individual, spouse and dependent child coverage
  • Up to two weeks of paid family leave
  • 401k retirement savings plan including a company match

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