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Automation Simulation Engineer Jobs in Ashburn, VA

SAIC

Automation and Analytic Modeling Engineer

Chantilly, VA · On-site

$160K - $200K/yr

The Automation and Modeling Subject Matter Expert (SME) serves as a senior engineering professional ... Leverage advanced modeling, simulation, machine learning, statistical analysis, and visualization ...

TSC

Software Engineer I

Silver Spring, MD · On-site

Job Summary : TSC is seeking entry level Software Engineers in Silver Spring, MD to support ... scale simulation; GUI, analysis tools, and various kinds of automation (build, test, etc ...

Leidos

Mobile Automation Tester

Ashburn, VA · On-site

$107K - $195K/yr

Develop and test using Android emulator and iOS simulator * Able to report mobile automation test ... Strong proficiency in Java programming language. * Experience with BDD and ATDD frameworks * Hands ...

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All JobsAutomation Simulation Engineer JobsAutomation Simulation Engineer Jobs in Ashburn, VA

Automation Simulation Engineer information

See Ashburn, VA salary details

$39.9K

$126.2K

$194.8K

How much do automation simulation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for automation simulation engineer in Ashburn, VA is $126,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $149,800.00 per year, depending on experience, location, and employer.

What is an automation simulation engineer?

Automation Simulation Engineers are professionals who design, develop, and test virtual models of automated systems, such as robotics, manufacturing lines, or industrial processes. They use simulation software to replicate real-world operations, helping companies optimize performance, identify issues, and reduce costs before actual implementation. Their work is crucial in industries like automotive, aerospace, and manufacturing, where efficiency and precision are vital. By simulating automation systems, they enable organizations to make informed decisions and improve overall productivity.

How does an automation simulation engineer typically collaborate with cross-functional teams during project development?

Automation Simulation Engineers frequently work alongside controls engineers, mechanical designers, and project managers to ensure simulation models accurately reflect real-world system behaviors. Collaboration often involves participating in design reviews, sharing simulation results, and iterating on model parameters based on feedback from different departments. Effective communication and teamwork are crucial, as simulation insights guide design choices, troubleshoot potential issues, and optimize automation processes before physical implementation. This cross-disciplinary approach ensures smoother project execution and greater system reliability.

What are the key skills and qualifications needed to thrive as an automation simulation engineer, and why are they important?

To thrive as an Automation Simulation Engineer, you need a solid background in engineering principles, control systems, and process automation, usually supported by a degree in electrical, mechanical, or automation engineering. Proficiency with simulation software (such as Siemens Tecnomatix, Rockwell Arena, or MATLAB/Simulink), programming languages, and PLC systems is crucial, and certifications in automation or simulation tools are often valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are essential to ensure accurate modeling, efficient automation solutions, and successful project outcomes in industrial environments.

What is the difference between Automation Simulation Engineer vs Automation Test Engineer?

AspectAutomation Simulation EngineerAutomation Test Engineer
Primary FocusDeveloping and validating simulation models for automation systemsDesigning and executing automated tests for software and hardware
Required SkillsSimulation software, control systems, programming (e.g., Python, MATLAB)Testing frameworks, scripting, defect tracking
Work EnvironmentEngineering labs, R&D departments, manufacturing settingsSoftware development teams, QA departments, manufacturing
Industry UsageManufacturing, robotics, industrial automationSoftware development, electronics, automation industries

While both roles involve automation, the Automation Simulation Engineer focuses on creating virtual models to test automation systems, whereas the Automation Test Engineer concentrates on executing automated tests to ensure software and hardware quality. Both roles require technical skills and are vital in automation industries, but their core responsibilities differ significantly.

What are popular job titles related to Automation Simulation Engineer jobs in Ashburn, VA?

For Automation Simulation Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Automation Simulation Engineer jobs in Ashburn, VA look for?

The top searched job categories for Automation Simulation Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Automation Simulation Engineer jobs?

Cities near Ashburn, VA with the most Automation Simulation Engineer job openings:

Automation Simulation Engineer jobs near you
Infographic showing various Automation Simulation Engineer job openings in Ashburn, VA as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,189 per year, or $60.7 per hour.

Automation and Analytic Modeling Engineer

Science Applications International Corporation

Chantilly, VA • On-site

Full-time

Re-posted 3 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

SAIC is looking for an Automation and Analytic Modeling Engineer with Space Domain Operations experience in Chantilly, VA to support a very dynamic and innovative space program office in Chantilly, VA.  The Automation and Modeling Subject Matter Expert (SME) serves as a senior engineering professional responsible for developing, implementing, and optimizing advanced analytic modeling, automation, and data processing solutions to accelerate the extraction of actionable insights from GEOINT and related intelligence data sources. This position combines expertise in data analytics, systems engineering, automation technologies, and intelligence workflows to enhance mission effectiveness, improve collection strategies, and reduce the time required to deliver meaningful intelligence to end users.

The successful candidate will demonstrate technical excellence, innovative problem-solving skills, and the ability to develop unconventional approaches that advance program objectives and enable data-driven decision-making across complex operational environments.

Key Responsibilities:

    Design, develop, and implement analytic models, algorithms, and automated workflows to extract insights from GEOINT and multi-source intelligence data.
    Leverage advanced modeling, simulation, machine learning, statistical analysis, and visualization tools to identify patterns, trends, and mission-relevant intelligence.
    Develop and optimize automated collection, exploitation, processing, and dissemination (PED) strategies to improve efficiency and accelerate intelligence delivery.
    Collaborate with engineers, analysts, data scientists, mission partners, and government stakeholders to translate operational challenges into technical solutions.
    Integrate emerging technologies, automation frameworks, and analytic capabilities into operational environments.
    Provide technical leadership and subject matter expertise regarding GEOINT data exploitation, automation technologies, and advanced analytics.
    Identify innovative approaches and non-traditional solutions to solve challenging intelligence problems and accelerate mission outcomes.
    Support system testing, validation, and performance assessment activities to ensure operational effectiveness and mission readiness.
    Prepare technical documentation, engineering reports, briefings, and recommendations for government leadership and stakeholders.

SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Qualifications:
    Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Geospatial Science, or a related technical discipline.
    9+ years of experience supporting intelligence, defense, national security, or GEOINT-related programs.
    Demonstrated experience using analytic modeling tools and techniques to derive actionable insights from GEOINT, geospatial, imagery, or intelligence data.
    Experience developing and implementing automated collection, processing, exploitation, and analytic workflows.
    Strong understanding of GEOINT data sources, collection methodologies, and intelligence analysis processes.
    Experience with scripting and automation technologies such as Python, R, MATLAB, Java, or similar languages.
    Knowledge of data engineering, machine learning, artificial intelligence, statistical analysis, and data visualization methodologies.
    Ability to evaluate complex technical challenges and develop innovative, mission-focused solutions.
    Strong written and verbal communication skills with experience briefing technical and non-technical stakeholders.
    Active TS/SCI clearance with eligibility for required program access.
 

Desired Qualifications:
    Advanced degree in Engineering, Computer Science, Data Science, Geospatial Science, or related field.
    Experience supporting National Security Space, GEOINT, ISR, or intelligence community programs. 
    Experience integrating commercial and government analytic platforms into operational workflows.

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