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Model Predictive Control Jobs in Washington, DC (NOW HIRING)

Modeler III with Security Clearance

Arlington, VA · On-site

$63 - $81.75/hr

Applies broad understanding of military command & control and force structure at the unified ... Model (STORM) and/or Advanced Framework for Simulation, Integration, and Modeling (AFSIM) * Eight ...

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S ... models, algorithms, and frameworks to improve objectivity, completeness, and predictive value of ...

CBRN Analyst

Arlington, VA · On-site

$101K - $201K/yr

... Control and Communication (NC3) Division. Work will be performed onsite in the Arlington, VA area (Pentagon). Job Responsibilities: * Execute and refine predictive hazard models, data simulations ...

... Control and Communication (NC3) Division. Work will be performed onsite in the Arlington, VA area (Pentagon). Job Responsibilities: * Execute and refine predictive hazard models, data simulations ...

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

Support the creation of data models, predictive analyses, and forecasting tools to enhance planning ... control, teamwork, and the development of younger staff. We seek employees who enjoy their work ...

Showing results 41-60

Model Predictive Control information

See Washington, DC salary details

$62.3K

$109.4K

$148.4K

How much do model predictive control jobs pay per year?

As of Aug 9, 2026, the average yearly pay for model predictive control in Washington, DC is $109,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $122,300.00 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 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 are popular job titles related to Model Predictive Control jobs in Washington, DC? For Model Predictive Control jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Washington, DC look for? The top searched job categories for Model Predictive Control jobs in Washington, DC are:
Infographic showing various Model Predictive Control job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,379 per year, or $52.6 per hour.

Modeler III with Security Clearance

KBR

Arlington, VA • On-site

$63 - $81.75/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 17 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

139th of 446 rated engineering


Job description

Title:
Modeler III Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us? * Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
* Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
* Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Key Responsibilities: KBR seeks a Modeler to support the CAPE Joint Data Support (JDS) Division. CAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). JDS develops standardized data products and analytic tools to support Joint analytic efforts focused on Senior Leader decision support. Additionally, JDS supports AWG led SCI/SAP/SAR studies and analyses. The Modeler will support studies of combined and joint military operations conducted across the spectrum of war, from theater campaigns to operations other than war. Study objectives include course of action analysis, operational planning, time-phased force deployment data, feasibility assessments, identifying & managing areas of operational risk, determining force requirements, and developing tactics, techniques, & procedures for tactical & operational problems. Analysis is performed using widely accepted military combat models & simulations, all source intelligence. Support studies of combined and joint military operations conducted across the spectrum of war, from theater campaigns to operations other than war. Provide support to gaming activities. Interpret, synthesize, and present results & recommendations to senior military/civilian decision makers. Employ & maintain selected models and simulations (to include their data bases) specifically designed to analyze some aspect of military operations. Lead & manage interdisciplinary study teams conducting studies of a scope and nature expected of a theater level command. Also must have a detailed knowledge in military doctrine, planning & operational employment of forces - combat arms, combat support, & combat service support. Applies broad understanding of military command & control and force structure at the unified & specified level (joint commands) to the joint planning process & mission analysis. Work Environment: * Location: On-site
* Travel Requirements: Minimal 0-20%
* Working Hours: Standard Qualifications: Required: * Must have an active Secret security clearance to be considered for the position.
* Bachelor's degree in data science, statistics, mathematics, or a related field.
* Eight (8) years of experience designing and executing analysis using DoD modeling software with expertise in either Synthetic Theater Operations Research Model (STORM) and/or Advanced Framework for Simulation, Integration, and Modeling (AFSIM)
* Eight (8) years of demonstrated modeling and quantitative analysis experience in support of DoD force sizing, shaping, and capability analysis.
* Eight (8) years of experience leveraging analytical and computational methods (e.g., modern statistics, differential equations, linear algebra, predictive analysis).
* Eight (8) years of experience employing object-oriented programming languages (e.g., Python, Java, C++, C#, R, MATLAB, Simulink) and database management systems (e.g., SQL server, MYSQL, Oracle, MS Access). Desired: * TS/ SCI Clearance Scheduled Weekly Hours: 40hrs Basic Compensation: The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998