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Model Predictive Control Jobs in Washington (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

Autonomy Algorithms Lead Software Engineer

Arlington, VA · On-site +1

$173K - $216K/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 ...

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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 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? 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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Autonomy Engineer (Contingent) (Chantilly, VA; Denver Metro Area; ...)

Trusted Space

Chantilly, VA • On-site

$135K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Summary
Position Title: Autonomy Engineer (Contingent)
Position ID: TA242
Location(s): Hybrid; Greater Denver Metro Area, CO, Northern, VA, Chantilly, VA, Herndon, VA
Application Deadline: August 31, 2026
Security Clearance Requirement: TS/SCI Security Clearance
Job Description
Trusted Space is seeking a Mid-Level Autonomy Engineer to build and integrate autonomy algorithms and support performance evaluation in simulation and demonstration environments. The engineer will work across message buses, interfaces, and mission workflows as part of a cross-functional Agile team. This position is contingent upon award, anticipated start on 09/01/2026.
Key Responsibilities
  • Develop, implement, and refine autonomy algorithms (e.g., Reinforcement Learning, Model Predictive Control, sample-based methods) for space-domain missions.
  • Contribute to integration of Trusted Space autonomy capabilities, including message bus interactions, ICDs/APIs, simulation interfaces, and autonomy system workflows.
  • Generate autonomy performance metrics and artifacts for verification and customer reviews.
  • Support integration testing, demo preparation, data generation, and scripted execution activities within Agile Scrum workflows.
  • Collaborate with systems, software, aerospace, and DevSecOps engineers to maintain traceability across requirements, MBSE models, interfaces, and test vectors.
  • Contribute autonomy-focused content to documentation, operator guides, training materials, and technical handoff packages.

Qualifications
  • Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, Applied Mathematics, or a related field.
  • 4+ years of relevant industry or research experience developing autonomous systems.
  • Hands-on experience implementing Reinforcement Learning, Model Predictive Control, sample-based autonomy algorithms, or other decision-making and control techniques, and analyzing their performance.
  • Demonstrated ability working with large software codebases involving multiple interacting components.
  • Proficiency with Python and modern algorithm development tools.
  • Experience with software testing, integration workflows, and simulation environments.
  • Ability to work collaboratively in cross-functional Agile teams.
  • U.S. Citizenship; active TS/SCI clearance.

Desired Skills and Experience
  • Experience with autonomy for robotics, UAVs, or space vehicles.
  • Working knowledge of aerospace mission dynamics or space-domain operational constraints.
  • Background supporting integration and demonstration events, including test scripting, performance data gathering and analysis, and operator workflow definitions.
  • Strong technical communication skills.
  • Master's degree in a relevant field (optional but beneficial).

Compensation
The salary range for this role is $135,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.
Benefits
Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our agile and innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.
About Trusted Space
Trusted Space is the premier provider of trusted autonomy and battlespace management software solutions enabling machine speed sensing, sense making, decision making, and acting for critical space and intelligence missions. Our portfolio includes trusted autonomy software products, real-time image processing capabilities, advanced space mission engineering services, and space operations & training solutions. We empower government and commercial customers to achieve mission superiority in space reconnaissance & surveillance, dynamic space operations, space-based ISR, and ground/command & control (C2) systems.
Rooted in our adherence to the Golden Rule - to treat others as we want to be treated - Trusted Space fosters a culture of innovation, mission-focus, agility, and technical excellence. We offer a collaborative and supportive work environment, world-class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all we do. We consider it a privilege to work with our customers to provide solutions to their most difficult national security and intelligence challenges.
Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.
DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.
This is a full time position

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