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Remote Simulation Engineer Jobs in Washington, DC

Whitespace

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be ... remote sensing, GEOINT, or commercial geospatial data. * Experience with population simulation ...

Whitespace

Software Engineer

Alexandria, VA · Remote

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be ... remote sensing, GEOINT, or commercial geospatial data. * Experience with population simulation ...

Booz Allen Hamilton, Inc.

Platform Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242482 Location: McLean,VA,US Share job via: Share Platform ... and simulation platform. You'll support containerized platforms and deployment pipelines that ...

SAIC

NRO Payload Engineer

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Payload Subject Matter ... simulation results. • Assess Technology Readiness Levels (TRLs) and identify risks to program ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$91K - $159K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Designing and supporting top-level simulations * Translating requirements into FPGA architectures

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Showing results 21-40

All JobsSimulation Engineer JobsRemote Simulation Engineer JobsRemote Simulation Engineer Jobs in Washington, DC

Remote Simulation Engineer information

See Washington, DC salary details

$44.2K

$139.8K

$215.8K

How much do remote simulation engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote simulation engineer in Washington, DC is $139,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $165,900.00 per year, depending on experience, location, and employer.

What is a remote simulation engineer?

Remote Simulation Engineers are professionals who use computer-based models and simulations to replicate real-world systems, processes, or products, often working from remote locations. They design, develop, and analyze simulations to test and optimize designs in fields such as aerospace, automotive, healthcare, and manufacturing. By leveraging specialized software, they help organizations predict outcomes, reduce costs, and improve efficiency without the need for physical prototypes. Remote Simulation Engineers collaborate with multidisciplinary teams using digital tools, ensuring seamless communication and project delivery. Their role is crucial for organizations aiming to innovate and streamline development in a virtual environment.

What are the key skills and qualifications needed to thrive as a remote simulation engineer?

To thrive as a Remote Simulation Engineer, you need a solid background in engineering principles, computational modeling, and a relevant degree in fields like mechanical, electrical, or aerospace engineering. Proficiency with simulation software such as ANSYS, MATLAB, or Simulink, alongside experience with CAD tools, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills are crucial for delivering accurate, timely simulation results and collaborating efficiently with global teams.

How does a remote simulation engineer typically collaborate with on-site teams and stakeholders?

As a Remote Simulation Engineer, you will frequently collaborate with on-site teams, project managers, and other engineers through virtual meetings, cloud-based platforms, and shared simulation tools. Clear communication and proactive coordination are essential, as you may be responsible for explaining simulation results, integrating feedback, and ensuring your models align with real-world requirements. Building strong relationships with cross-functional teams helps bridge the distance and ensures project milestones are met efficiently. Familiarity with collaborative software and version control systems is valuable for seamless teamwork.

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

AspectRemote Simulation EngineerRemote Test Engineer
Required CredentialsBachelor's or higher in engineering, proficiency in simulation softwareBachelor's or higher in engineering or related field, experience with testing tools
Work EnvironmentDesigning and running simulations, using CAD and simulation platforms remotelyConducting product tests, analyzing results, often remotely or in labs
Industry UsageAutomotive, aerospace, electronics industriesManufacturing, electronics, automotive sectors
Common Search/ComparisonYesYes

The Remote Simulation Engineer focuses on creating and analyzing virtual models to predict product performance, while the Remote Test Engineer conducts physical or virtual tests to validate product quality. Both roles require engineering backgrounds and often overlap in industries like automotive and aerospace, but their core activities differ: simulation versus testing.

What are the most commonly searched types of Simulation Engineer jobs in Washington, DC?

The most popular types of Simulation Engineer jobs in Washington, DC are:

What are popular job titles related to Remote Simulation Engineer jobs in Washington, DC?

For Remote Simulation Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Simulation Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Simulation Engineer jobs in Washington, DC are:

Remote Simulation Engineer jobs near you
Infographic showing various Remote Simulation Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $139,762 per year, or $67.2 per hour.

Software Engineer

Whitespace

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Software Engineer
Location: Remote / Alexandria, VA
Clearance: Active TS/SCI or eligibility to be cleared
GeoDelphi, Inc. dba Whitespace is building Iris, a trust-first Agentic AI platform for global leaders. Recognized as one of the most innovative companies in the geospatial industry, Whitespace accelerates speed-to-answer through powerful analytics, high-cadence data feeds, geospatial intelligence, and expert-machine teaming. Our mission is to transform commercial data into actionable intelligence that keeps pace with world events and delivers decision advantage to our customers.
Position Overview
Whitespace is seeking a highly motivated Software Engineer, with geospatial analysis experience, to join our engineering and analytics team. This role combines software engineering, geospatial data science, and advanced analytics to support mission-critical programs including Tactical Surveillance, Reconnaissance, and Tracking (TacSRT).
The ideal candidate is a full-stack problem solver who can design scalable software systems, build data pipelines, perform geospatial analysis, and develop analytic capabilities that transform large volumes of commercial and geospatial data into actionable intelligence.
You will work closely with software engineers, data scientists, analysts, and customer stakeholders to develop innovative solutions that support national security, operational planning, and strategic decision-making. This position will report to the VP of Engineering.
This position is 100% remote! It also requires 15% travel to the corporate and customer locations. In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.
Requirements
RESPONSIBILITIES
Software Engineering
  • Design, develop, test, deploy, and maintain scalable software solutions supporting the Whitespace Answers Platform and Iris AI ecosystem.
  • Build backend services, APIs, data pipelines, and analytic applications using modern software engineering practices.
  • Write clean, efficient, maintainable, and testable code primarily using Python and Java.
  • Collaborate across Agile teams to develop technical solutions for complex geospatial and data-centric challenges.
  • Participate in software releases, code reviews, CI/CD pipelines, and DevOps processes.
  • Improve existing applications through performance optimization, automation, and architecture enhancements.
  • Provide technical consultation and troubleshooting support for software and infrastructure issues.

Geospatial Data Science & Analytics
  • Collect, integrate, clean, and analyze large-scale geospatial and non-geospatial datasets.
  • Develop and implement statistical models, machine learning workflows, and geospatial analytics solutions.
  • Design and maintain scalable data processing pipelines for structured and unstructured data.
  • Identify trends, anomalies, patterns, and insights within commercial and geospatial datasets.
  • Develop interactive visualizations and mission-focused analytic products for customer stakeholders.
  • Conduct cloud-based data research and large-scale data processing.
  • Collaborate with engineering, R&D, and mission teams to develop new analytic capabilities and data products.
  • Support intelligence, targeting, collection management, geospatial analysis, and activity-based intelligence initiatives.

EXPERIENCE
  • Must have a minimum of 7 years of experience in a software engineering role
  • Experience in designing, building, scaling, and maintaining production software
  • Strong coding abilities emphasizing quality and testability in your work.
  • Utilize programming languages such as Java, Python, and Go
  • Strong understanding of DevOps and software/application development processes
  • Demonstrated experience with continuous integration and software CM processes/tools (GitLab, JIRA, Confluence, Kubernetes, or other DevOps/Continuous Integration tools)
  • Experience with SQL and NoSQL databases and query optimization
  • Experience acquiring client requirements and resolving workflow problems through automation optimization

DESIRED SKILLS
  • Experience with AWS, Azure, or Google Cloud.
  • Experience building geospatial web applications and APIs.
  • Experience with machine learning and predictive analytics.
  • Experience using geospatial Python libraries such as: GeoPandas
  • Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS.
  • Experience with satellite imagery, remote sensing, GEOINT, or commercial geospatial data.
  • Experience with population simulation, activity-based intelligence, or modeling and simulation.
  • Experience with Spark, Hadoop, Athena, EMR, BigQuery, or other large-scale data processing platforms.
  • Experience with data visualization tools such as Tableau, Power BI, Kepler.gl, Deck.gl, or custom Python visualizations.
  • Knowledge of intelligence analysis, collection management, targeting, or military operations.
  • GEOINT Professional Certification (GPC) or related certifications.

Benefits
GEODELPHI BENEFITS
  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

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