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Model Predictive Control Jobs in Washington (NOW HIRING)

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 ...

Everwatch

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

Harnessing the most advanced technology and solutions, we strengthen defenses and control ... modeling, predictive analytics, or decision-support systems * Knowledge of data science, machine ...

Everwatch

Systems Engineer, Senior

Annapolis Junction, MD

$106K - $146K/yr

Harnessing the most advanced technology and solutions, we strengthen defenses and control ... modeling, predictive analytics, or decision-support systems * Knowledge of data science, machine ...

Everwatch

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

Harnessing the most advanced technology and solutions, we strengthen defenses and control ... modeling, predictive analytics, or decision-support systems * Knowledge of data science, machine ...

Everwatch

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

Harnessing the most advanced technology and solutions, we strengthen defenses and control ... modeling, predictive analytics, or decision-support systems * Knowledge of data science, machine ...

Vantor

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 ...

Vantor

Principal Applied Scientist - TS/SCI

Herndon, VA · On-site

$140K - $205K/yr

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S ... predictive analytics, agent-based modeling (ABM) or equivalent, and decision support in a ...

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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 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 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 does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What are popular job titles related to Model Predictive Control jobs in Washington?

For Model Predictive Control jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Washington look for?

The top searched job categories for Model Predictive Control jobs in Washington are:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Data Scientist

Arlington, VA • On-site, Remote

Redhorse Corporation
Manufacturing • 201 - 500 employees
Learn more about Redhorse Corporationexternal

Full-time

Re-posted 14 days ago

Job description

Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • Sustain existing WUC predictive failure models
    • Support selection and analysis of new WUC predictive failure models
    • Field newly approved WUC predictive failure models
    • Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • Participate in user and stakeholder engagements and technical discussions
    • Gather and provide feedback on best practices and recommended enhancements to the platform
    • Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Active Secret Clearance
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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