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Model Predictive Control Jobs in Utah (NOW HIRING)

Construction Automation Team Lead

Salt Lake City, UT · On-site

$91K - $120K/yr

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

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software ... DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software ... DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software ... DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ... and build predictive models * Advanced ability to translate complex datasets into actionable ...

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

... control in poultry (e.g. comparative analysis of multiple host-pathogen Protein Interaction ... Focus on system and data integration, algorithm development and computational modeling of the ...

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

... control in poultry (e.g. comparative analysis of multiple host-pathogen Protein Interaction ... Focus on system and data integration, algorithm development and computational modeling of the ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ... and build predictive models * Advanced ability to translate complex datasets into actionable ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ... and build predictive models * Advanced ability to translate complex datasets into actionable ...

... Control / Data Management (CME), Cyber Engineering (CYB), Cyber Engineering (CYE), Cyber ... readiness (predictive maintenance and supplychain resilience); risk, compliance, and mission ...

Senior Electrical Engineer

South Jordan, UT · On-site

$102K - $132K/yr

... QC. * Proficiency with technical writing, office automation, discipline-specific design software, technology, math principles, predictive models, spreadsheets, and tools. * Developed critical ...

IDOS Aerospace Professionals

Ogden, UT · On-site

$80K - $133K/yr

... Control / Data Management (CME), Cyber Engineering (CYB), Cyber Engineering (CYE), Cyber ... predictive maintenance and supply-chain resilience); risk, compliance, and mission assurance ...

Senior Electrical Engineer

South Jordan, UT · On-site

$102K - $132K/yr

... QC. * Proficiency with technical writing, office automation, discipline-specific design software, technology, math principles, predictive models, spreadsheets, and tools. * Developed critical ...

Director, Accounts Payable

Lehi, UT

$61K - $84K/yr

Our vertically integrated model gives us total control over every part of the energy lifecycle ... predictive exception routing, smart GL coding suggestions, automated duplicate detection)

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Showing results 1-20

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.
Construction Automation Team Lead

Construction Automation Team Lead

HNTB

Salt Lake City, UT • On-site

$91K - $120K/yr

Full-time

Posted 18 days ago


HNTB rating

9.2

Company rating: 9.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

What We're Looking For

At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
This position is responsible for leading construction focused digital delivery, automation, and technology solutions across large, complex infrastructure projects and programs. The Construction Automation Team Lead will oversee and mentor a team of construction technology professionals while establishing technical strategy, scalable workflows, governance standards, and implementation approaches that support the full project lifecycle from planning and design through construction and turnover to operations. This role will drive innovation in construction delivery through the application of automation, data integration, VDC, BIM, and advanced digital workflows that improve project execution, quality, safety, and efficiency.
The position is responsible for advancing practical and scalable solutions that align with contractor, owner, and project team needs while supporting enterprise consistency and long term digital strategy. The Construction Automation Team Lead will play a key role in expanding HNTB's construction technology capabilities, enhancing client value, developing staff, and positioning the firm at the forefront of digital transformation within the infrastructure and construction industry.What You'll Do:
  • Leads and manages VDC teams and enterprise digital delivery initiatives.
  • Defines digital strategy, technical roadmap, and project priorities.
  • Oversees team performance, development planning, and succession management.
  • Collaborates with senior stakeholders to align digital construction with business strategy.
  • Ensures delivery of secure, scalable, and high-performing digital solutions.
  • Fosters a culture of innovation, collaboration, and continuous improvement.
  • Supports recruitment, onboarding, and team growth.
  • Performs other duties as assigned.

What You'll Need:

  • Associate's degree or certificate in computer-aided design (CAD), BIM, VDC, or a related field and 7 years of relevant experience, or
  • Bachelor's degree in Construction Management, Engineering, or a related field and 5 years of related experience, or
  • In lieu of education, 9 years of relevant experience.
What You'll Bring:
  • Contractor VDC experience is highly preferred
  • Proven experience supporting construction management, CMGC, design build, progressive design build, or other alternative delivery methods.
  • Strong understanding of construction operations, field workflows, digital coordination, and technology adoption across design, construction, and turnover.
  • Experience developing and implementing automation workflows, model governance standards, data validation routines, and digital construction execution strategies.
  • Experience integrating BIM, GIS, reality capture, schedule, cost, asset, and IoT data into connected construction and operations workflows.
  • Familiarity with AI enabled construction technologies including model analytics, computer vision, generative AI, predictive analytics, and intelligent automation.
  • Strong understanding of Common Data Environments (CDE), information management principles, and digital handover workflows aligned with industry standards.
  • Strong project management, stakeholder engagement, organizational leadership, and client communication skills.
  • Experience with strategic planning, resource management, budgeting, operational leadership, and team development.
  • Ability to bridge technical implementation with practical construction execution and business objectives.

Preferred Experience With:

  • Autodesk ecosystem including: Civil 3D, Revit, Navisworks Manage, Construction Cloud (ACC), Build, BIM Collaborate Pro, Tandem, Forma, ReCap, Dynamo, and Data Exchange.
  • Bentley ecosystem including: OpenRoads, OpenBridge Modeler, OpenRail, MicroStation, SYNCHRO, AssetWise, and iTwin Platform.
  • Construction and project delivery platforms including Procore, Primavera P6, Oracle Aconex, Trimble Connect, Quadri, and ProjectWise.
  • GIS and geospatial technologies including ESRI ArcGIS Pro, ArcGIS Enterprise, GeoBIM, Indoors, Velocity, and spatial data integration workflows.
  • Reality capture technologies including terrestrial LiDAR, mobile mapping, UAV data collection, photogrammetry, SLAM based scanning, and point cloud processing workflows.
  • Field construction technologies including Trimble SiteVision, vGIS, Leica iCON, Trimble FieldLink, GNSS machine control systems, mixed reality workflows, augmented reality visualization, and field layout solutions.
  • Automation and data technologies including Python, Power Automate, SQL, APIs, Power BI, Microsoft Fabric, Snowflake, Databricks, and cloud based data environments.
  • Familiarity with AI and machine learning applications for construction analytics, model validation, safety monitoring, progress tracking, asset intelligence, and computer vision enabled construction workflows.

What We Prefer:

  • Certifications in BIM, CAD, or other VDC technologies.
  • Certifications in project management (PMP, Agile) or management practices.
  • Bachelor or Master's degree in Construction Management, Architecture, Engineering, Geospatial Science, Data Science, or Computer Science
  • Experience supporting owner and operator construction programs including aviation, transportation, rail, transit, or large civil infrastructure.

Additional Information

Click here for benefits information: HNTB Total Rewards

Click here to learn more about Equal Opportunity Employer/Disability/Veteran

Visa sponsorship is not available for this position.#RN

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Locations:

Austin, TX, Chicago, IL, Denver, CO, Kansas City, MO, Lake Mary, FL, Milwaukee, WI (East Wisconsin Avenue), Milwaukee, WI (St. Paul Avenue), Salt Lake City, UT

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The approximate pay range for Colorado is $121,423.35 - $189,918.58. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.

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The anticipated last day to apply is 07/30/2026. Please note that the job may be unposted prior to this date if the job is filled or no longer a need.

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The approximate pay range for Illinois is $121,423.35 - $189,918.58. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.

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The approximate nation wide pay range for this position is $110,384.86 - $215,816.57. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.

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NOTICE TO THIRD-PARTY AGENCIES:

HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.


What HNTB employees say

Pay

Benefits

Hours and flexibility

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About HNTB

Sourced by ZipRecruiter

At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Kansas City, MO, US

Year founded

1914