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Model Predictive Control Jobs in Virginia (NOW HIRING)

STR

Senior Software Engineer

Arlington, VA · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning ...

STR

Senior Software Engineer

Arlington, VA · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning ...

STR

Senior Software Engineer

Arlington, VA · On-site

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning ...

KBR

Modeler III

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 ...

KBR, Inc.

Modeler III

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 ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... first line quality control check for data cleaning, WUC analyses, NLP models and resulting ... Sustain existing WUC predictive failure models * Support selection and analysis of new WUC ...

Seekr

Senior AI Solutions Engineer

Reston, VA

$57.50 - $74/hr

Experience training and employing predictive AI models in a government context * Solid knowledge of ... control mechanisms, and Layer 2+ analysis and exploitation

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

Experience training and employing predictive AI models in a government context * Solid knowledge of ... common control mechanisms, and Layer 2+ analysis and exploitation About the Company: Seekr is a ...

KBR

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 ...

K2 Group Inc.

CBRN Analyst

Arlington, VA · On-site

... 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 ...

K2 Group, Inc.

CBRN Analyst

Arlington, VA · On-site

... 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 ...

Maxar

Analytic Methodologist - Senior

Reston, VA · On-site

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 ...

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Virginia

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

Senior Software Engineer

STR

Arlington, VA • On-site, Remote

$134K - $184K/yr

Other

Posted 9 days ago

Job description

About the Team: 

STR's Analytics & C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success. 

 The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. 

 The Role: 

As a Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.  

 Who You Are: 

  • U.S. Citizen with ability to get a security clearance 
  • BS in Computer Science or related technical field with 5+ years of experience 
  • 3+ years of experience with C++ or Java 
  • Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables (front end experience is a lesser focus) 
  • Proven ability to develop, implement, integrate, and test autonomy algorithms and software 
  • Proven ability to proactively assume leadership within modest size engineering teams (2-4 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance 
  • Demonstrated success executing industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products 
  • Experience in supporting system/software architecture design at the system and system of systems (SoS) levels 
  • Comfortable working both with internal leadership and external customers in the development and execution of software product plans 
  • Experience utilizing the following:  
  • Object-Oriented Programming principles for large scale systems 
  • Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc 
  • Test-driven development methodologies 
  • A demonstrated ability to adopt new languages, libraries, and technologies 

Even Better: 

  • MS or PhD in Computer Science or related technical field 
  • Experience with the following:  
  • Collection Orchestration 
  • Satellite Constellation Management 
  • Containerization and service based architectures 
  • Coordinating Electronic Warfare resources 
  • Reinforcement learning 
  • Agentic AI 
  • Experience programming for embedded and physical devices 
  • Multi-agent coordination of UxVs 
  • MAVLINK or other C2 protocols 
  • ROS 
  • TAK 
  • DevSecOps and CI/CD tool chains 
  • Constraint satisfaction algorithms 
  • Knowledge representation/ontologies 
  • Python 
  • Active Security Clearance 

Pay Information 

Full-Time Salary Range: $134,000 - $184,000 

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. 

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